{"id":554,"date":"2020-06-28T14:55:31","date_gmt":"2020-06-28T05:55:31","guid":{"rendered":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/?page_id=554"},"modified":"2025-03-07T10:20:18","modified_gmt":"2025-03-07T01:20:18","slug":"publication","status":"publish","type":"page","link":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/research\/publication\/","title":{"rendered":"\u7814\u7a76\u696d\u7e3e"},"content":{"rendered":"

\u00a0Journal<\/h3>\n
    \n
  1. \n
    \n
    Hiroto Shida, .Aoto Kaburaki, and Koichi Adachi<\/span>, “Timing and Synchronization Control for Energy-Efficient Multi-Hop LoRaWAN<\/a>,” IEEE Access<\/em> (Early Access), doi: 10.1109\/ACCESS.2024.3502501.<\/div>\n<\/div>\n<\/li>\n
  2. Aoto Kaburaki, Koichi Adachi<\/span>, and Osamu Takyu, “Tackling Hidden Node Problem Utilizing Traffic Periodicity and Downlink Carrier Sense in LPWAN,<\/a>” IEEE Internet Things J.<\/em> (Early Access), doi: 10.1109\/JIOT.2024.3491182.<\/li>\n
  3. \n
    \n
    Jingon Joung, Koichi Adachi<\/span>, and Chau Yuen, “Differential Space-Time Line Codes,” IEEE Trans. Veh. Technol<\/em>, pp.1-6, Jun. 2024, DOI: 10.1109\/TVT.2024.3412238.<\/div>\n<\/div>\n<\/li>\n
  4. Osamu Takyu, Keita Takeda, Ryuji Miyamoto, Koichi Adachi<\/span>, Mai Ohta, and Takeo Fujii, “An environment-aware adaptive data gathering method for packet level index modulation in LPWA,” Sensors<\/em>, 24(8), 2514, 2024,doi: https:\/\/doi.org\/10.3390\/s24082514.<\/li>\n
  5. Shun Shibuya, Koichi Adachi<\/span>, Hiroyuki Morikawa, and Yoshiaki Narusue, “Microwave Power Transmission Using a Signal-to-Leakage-and-Noise Ratio to Protect Wireless Communication Devices,” IEICE ComEX<\/em>, pp. 39-42, vol.13, no.2, Feb. 2024.<\/li>\n
  6. Aoto Kaburaki, Koichi Adachi<\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Adaptive Resource Allocation Utilizing Periodic Traffic and Clock Drift in LPWAN<\/a>,” IEEE Trans. Wireless Commun.<\/em>,vol. 23, no. 4, pp. 3795 – 3807, Apr. 2024, doi: 10.1109\/TWC.2023.3311679.<\/li>\n
  7. Kosuke Suzuki,\u00a0Koichi Adachi<\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Packet-Level Index Modulation Based on Channel Activity Detection<\/a>,” IEEE Trans. Wireless Commun.<\/em>, vol. 23, no. 4, pp. 2812 – 2823, Apr. 2024, doi:10.1109\/TWC.2023.3303187.<\/li>\n
  8. Ryuji Miyamoto, Osamu Takyu,\u00a0Koichi Adachi<\/span>, Takeo Fujii, and Mai Ohta, “Data Gathering Method with High Accuracy of Environment Recognition Using Mathematical Optimization in Packet-level Index Modulation,” IEICE Trans. Commun. Special Section on Emerging Communication Technologies in Conjunction with Main Topics of ICETC2022<\/em>, vol. 106E-B, no. 12, Dec. 2023.<\/li>\n
  9. Ryota Kumada and Koichi Adachi<\/span>, “Interference Cancellation for Coexistence of LoRaWAN with Wireless Power Transfer<\/a>,” IEEE Internet Things J.<\/em>, vol. 10, no. 15, pp. 13109-13122, Aug. 2023, DOI: 10.1109\/JIOT.2023.3259472.<\/li>\n
  10. Toshi Ito, Masafumi Oda, Osamu Takyu, Mai Ohta, Takeo Fujii, and Koichi Adachi<\/span>, “Three-level detection using the collision detection method in physical,” Sensors<\/em>, vol. 23, no. 6, p. 3308, Mar. 2023, doi: 10.3390\/s23063308.<\/li>\n
  11. Masafumi Oda, Osamu Takyu, Mai Ohta, Takeo Fujii, and Koichi Adachi<\/span>, “Position Estimation of Radio Source Based on Fingerprinting With Physical Wireless Parameter Conversion Sensor Networks,” IEEE Access<\/em>, vol. 11, pp. 1843-12857, Feb. 2023, 10.1109\/ACCESS.2023.3242611.<\/li>\n
  12. Jiaqi Zou, Rui Liu, Chenwei Wang, Yuanhao Cui, Zixuan Zou, Songlin Sun, and Koichi Adachi<\/span>, “Aiming in Harsh Environments: A New Framework for Flexible and Adaptive Resource Management,” IEEE Network<\/em>, vol. 36, no.4, pp.70-77, Jul.\/Aug. 2022.<\/li>\n
  13. Osamu Takyu, Gaku Kobayashi,\u00a0Koichi Adachi<\/span>, Mai Ohta, and Takeo Fujii, “Estimation Based on Chirp Modulation for Desired and Interference Power and Channel Occupancy Ratio in LoRa,” Sensors<\/em>, vol.22, no.11, p.4140, May 2022, doi: 10.3390\/s22114140.<\/li>\n
  14. Kohei Tsurumi, Aoto Kaburaki,\u00a0Koichi Adachi<\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Simple Clock Drift Estimation & Compensation for Packet-Level Index Modulation and its Implementation in LoRaWAN<\/a>,” IEEE Internet Things J.<\/em>, vol.9, no.16, pp.15089-15099, Aug. 2022, DOI: 10.1109\/JIOT.2022.3148767.<\/li>\n
  15. Kosuke Suzuki, Koichi Adachi<\/span>, Mai Ohta, Osamu Takyu, and Takeo Fujii, “Flexible Index Mapping Scheme for Packet-Level Index Modulation<\/a>,” IEEE Wireless Commun. Lett.<\/em> vol.11, no.4, pp. 703-706, Apr. 2022, DOI:10.1109\/LWC.2022.3140420.<\/li>\n
  16. Riku Yamabe, Mikihiko Nishiara, Osamu Takyu, and Koichi Adachi<\/span>, “Achievable Rate Enhancement based on Multi-packet Indexing in Packet-Level Index Modulation, ” IEEE Access<\/i>, pp.1-9, Nov. 2021, DOI:10.1109\/ACCESS.2021.3128168.<\/li>\n
  17. Aoto Kaburaki, Koichi Adachi<\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Autonomous Decentralized Traffic Control Using Q-learning in LPWAN<\/a> <\/i>,” IEEE Access<\/i>, vol.9, pp.93651-93661, Jun. 2021, DOI: 10.1109\/ACCESS.2021.3093421.<\/li>\n
  18. Hendrik Lumbantoruan and Koichi Adachi<\/span>, “Array Antenna Equipped UAV-BS for Efficient Low Power WSN and Its Theoretical Analysis<\/a> <\/i>,” IET Commun.<\/i>, pp.1-14, Apr. 2021, DOI: 10.1049\/cmu2.12238.<\/li>\n
  19. Katsuya Suto, Shinsuke Bannai, Koya Sato, Kei Inage, Koichi Adachi<\/span>, and Takeo Fujii, “Image-Driven Spatial Interpolation with Deep Learning for Radio Map Construction,” IEEE Wireless Commun. Lett.<\/i>, vol.10, no.6, pp.1222-1226, Jun. 2021, DOI: 10.1109\/LWC.2021.3062666.<\/li>\n
  20. Koichi Adachi<\/span>, Kohei Tsurumi, Aoto Kaburaki, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Packet-Level Index Modulation for LoRaWAN<\/a> <\/i>,” IEEE Access<\/i>, vol.9, no.1, pp.12601-12610, Jan. 2021, DOI:10.1109\/ACCESS.2021.3051933.<\/li>\n
  21. Koya Sato, Katsuya Suto, Kei Inage, Koichi Adachi<\/span>, and Takeo Fujii, “Space-Frequency-Interpolated Radio Map,” IEEE Trans. Veh. Technol.<\/i>, vol.70, no.1, pp.714-725, Jan. 2021, DOI:10.1109\/TVT.2021.3049894.<\/li>\n
  22. Naoki Aihara, Koichi <\/span> Adachi<\/u>, Mai Ohta, Osamu Takyu, and Takeo Fujii, “Generalized Interference Detection Scheme in Heterogeneous Low Power Wide Area Networks<\/a> <\/i>,”\u00a0IEEE Sensors Lett.<\/i>, vol.4, no.6, Jun. 2020.<\/li>\n
  23. Naoki Aihara, Koichi <\/span> Adachi<\/u>, Mai Ohta, Osamu Takyu, and Takeo Fujii, “Q-Learning Aided Resource Allocation and Environment Recognition in LoRaWAN with CSMA\/CA<\/a> <\/i>,” IEEE Access<\/i>, vol.7, no.1, pp.152126-152137, Dec. 2019, DOI: 10.1109\/ACCESS.2019.2948111.<\/li>\n
  24. Ryuji Kobayashi and Koichi <\/span> Adachi<\/u>, “Radio and Computing Resource Allocation for Minimizing Total Processing Completion Time in Mobile Edge Computing<\/a> <\/i>,” IEEE Access<\/i>, vol.7, no.1, pp.141119-141132, Dec. 2019, DOI: 10.1109\/ACCESS.2019.2944184.<\/li>\n
  25. Le Tien Trien,\u00a0Koichi <\/span> Adachi<\/u>, and Yasushi Yamao, “Network Coding Based Payload Concatenation for Relay-Assisted V2V Communications,” IEICE Commun. Express<\/i>, vol.7, no.4, pp.148-153, 2018.<\/li>\n
  26. Le Tien Trien,\u00a0Koichi <\/span> Adachi<\/u>, and Yasushi Yamao, “Packet Relay-Assisted V2V Communication with Sectorized Relay Station Employing Payload Combining Scheme,” IET Commun.<\/i>, vol.12, no.4, pp.458-465, Feb. 2018.<\/li>\n
  27. Le Tien Trien,\u00a0Koichi <\/span> Adachi<\/u>, and Yasushi Yamao, “Efficient CSMA\/CA Packet Relay-Assisted Scheme with Payload Combining for ITS V2V Communication,” Journal of Information Processing<\/i>, vol.26, pp.11-19, Jan. 2018.<\/li>\n
  28. Koichi Adachi<\/u>, Jingon Joung, Y. Zhou, and Sumei Sun, “A Distributed Resource Reservation Scheme for Handover Failure Reduction,”\u00a0IEEE Wireless Commun. Lett.<\/i>, vol.4, no.5, pp.537-540, Jul. 2015.<\/li>\n
  29. Jingon Joung, C. K. Ho,\u00a0Koichi Adachi<\/u>, and Sumei Sun, “A Survey on Power-Amplifier-Centric Techniques for Spectrum and Energy Efficient Wireless Communications,”\u00a0IEEE Commun. Surveys Tuts.<\/i>, vol.17, no.1, pp.315-333, Aug. 2014.<\/li>\n
  30. Koichi Adachi<\/u>, Jingon Joung, Sumei Sun, and P. H. Tan, “Adaptive Coordinated Napping (CoNap) for Energy Saving in Wireless Networks,”\u00a0IEEE Trans. Wireless Commun.<\/i>, vol.12, no.11, pp.5656-5667, Nov. 2013.<\/li>\n
  31. Koichi Adachi<\/u>, K. Takeda, Sumei Sun, and Fumiyuki Adachi, “Joint Cooperative-Transmit and Receive FDE for Single-Carrier Incremental Relaying,”\u00a0IEEE Trans. Veh. Technol.<\/i>, vol.62, no.1, pp.1-13, Jan. 2013.<\/li>\n
  32. T. Yamamoto,\u00a0Koichi Adachi<\/u>, Sumei Sun, and Fumiyuki Adachi, “Recursive QR Packet Combining for Uplink Single-Carrier Multi-User MIMO HARQ Using Near ML Detection,”\u00a0Wirel. Commun. Mob. Comput.<\/i>, vol.12, pp.1652-1663, Dec. 2012.<\/li>\n
  33. Koichi Adachi<\/u>, Sumei Sun, and C. K. Ho, “Power Minimization of Cooperative Relay Transmission with Relay’s Private Information,”\u00a0IEEE Trans. Wireless Commun.<\/i>, vol.11, no.7, pp.2520-2530, Jul. 2012.<\/li>\n
  34. Y. Hemmi,\u00a0Koichi Adachi<\/u>, and Tomoaki Ohtsuki, “Subcarrier Mapping for Single-User SC-FDMA Relay Communications,”\u00a0IEICE Trans. Fundamentals<\/i>, vol.E94-A, no.12, pp.2776-2779, Dec. 2011.<\/li>\n
  35. N. Lynn, Osamu Takyu,\u00a0Koichi Adachi<\/u>, Tomoaki Ohtsuki, Masao Nakagawa, “An Autonomous Selective Cooperative ARQ Protocol for Hybrid Mobile Wireless Sensor Networks,”\u00a0J. of Commun.<\/i>, vol.6, no.2, pp.157-167, Apr. 2011.<\/li>\n
  36. T. Yamasaki, Osamu Takyu,\u00a0Koichi Adachi<\/u>, Y. Umeda, and Masao Nakagawa, “Phase Rotation for Constructing Uniform Frequency Spectrum in IFDMA Communication,”\u00a0IEICE Trans. Commun.<\/i>, vol.E93-A, no.12, pp.2672-2681, Dec. 2010.<\/li>\n
  37. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “On the Construction of Orthogonal Spreading Code Groups for MC-CDMA with FDE in a Frequency Selective Channel,”\u00a0IEICE Trans. Commun.<\/i>, vol.E93-B, no.3, pp.650-659, Mar. 2010.<\/li>\n
  38. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “Channel Capacity of MC-CDMA and Impact of Residual ICI,”\u00a0IEICE Tran. Commun.<\/i>, vol.E92-B, no.1, pp.209-218, Jan. 2009.<\/li>\n
  39. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “On Cellular MIMO Channel Capacity,”\u00a0IEICE Trans. Commun.<\/i>, vol.E91-B, no.7, pp.2366-2373, Jul. 2008.<\/li>\n
  40. Y. Fukuyama, Osamu Takyu, Koichi Adachi<\/u>, and Masao Nakagawa, “Relay Method of Sending Soft Decision Symbol Based on the Result of Error Detecting Code in Cooperative Communication,”\u00a0IEICE Trans. Fundamentals<\/i>, vol.E90-A, no.11, pp.2404-2412, Nov. 2007.<\/li>\n
  41. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “Theoretical Analysis of Decision Directed Block Iterative Channel Estimation for OFDM Mobile Radio,”\u00a0IEICE Trans. Commun.<\/i>, vol.E90-B, no.7, pp.1764-1772, Jul. 2007.<\/li>\n
  42. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “Iterative Modified QRD-M Based on CRC Codes for OFDM MIMO Multiplexing,”\u00a0IEICE Trans. Commun.<\/i>, vol.E90-B, no.6, pp.1433-1443, Jun. 2007.<\/li>\n
  43. Koichi Adachi<\/u>, R. Esmailzadeh, and Masao Nakagawa, “Iterative QRM-MLD with Pilot Assisted Decision Directed Channel Estimation for OFDM MIMO Multiplexing,”\u00a0IEICE Trans. Fundamentals<\/i>, vol.E89-A, no.7, pp.1892-1902, Jul. 2006.<\/li>\n<\/ol>\n

    <\/i>International Conference<\/h3>\n
      \n
    1. Kyohei Ueda\u00a0and Koichi Adachi<\/span><\/strong>, “Direction of Arrival Estimation Through Joint Phase-Time Arrays,” in Proc. The 39th Int. Conf. on Information and Netw. (ICOIN 2025)<\/em>, Chiang Mai, Thailand, 14-17, Jan. 2025, pp.1-5. (Accepted for publication)<\/li>\n
    2. Ryoya Saito and Koichi Adachi<\/span><\/strong>, “FSF-LoRa: Fractional-Spreading-Factor-LoRa for Flexible Resource Allocation,” in Proc. The 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)<\/em>, Washington DC, USA, 7-10, Oct. 2024, pp.1-5.<\/li>\n
    3. Toshi Ito, Osamu Takyu, Mai Ohta, Takeo Fujii, and Koichi Adachi<\/span><\/strong>, “Novel Environmental Recognition Scheme with Mobile Data Gathering Station in Physical Wireless Parameter Conversion Sensor Networks
      ,” in Proc. The 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)<\/em>, Washington DC, USA, 7-10, Oct. 2024, pp.1-5<\/li>\n
    4. Hayato Mukasa, Kohei Yuzawa, Takeo Fujii, and Koichi Adachi<\/span><\/strong>, “Indoor Radio Environment Map Construction Using Node Position Estimation for Smart Factories,” in Proc. IEEE Int. Symp. on Personal, Indoor and Mobile Radio Commun. 3rd Workshop on Integrated, Intelligent and Ubiquitous Connectivity for 6G<\/em>, Valencia, Spain, Sep. 2024.<\/li>\n
    5. Kotaro Yoshikawa, Takumi Tanagi, and Koichi Adachi<\/span><\/strong>, \u201cRadio Resource Allocation Scheme Considering Future Channel Conditions Based on Radio Environment Map,\u201d in Proc. The 20th IEEE Asia Pacific Wireless Commun. Symp. (APWCS 2024)<\/em>, Singapore, Singapore, Aug. 2024, pp.1-5.<\/li>\n
    6. Daichi Watabe, Kotaro Yoshikawa, and Koichi Adachi<\/strong><\/span>, \u201cResource Management for Wireless Power Transfer and Wireless Information Transfer in Industrial IoT,\u201d in Proc. The 5th Int. Workshop on Smart Radio for IoT Era (SRIoT 2024), The 15th Int. Conf. Ubiquitous and Future Netw. (ICUFN 2024)<\/em>, Budapest, Hungary, Jul., 2024, pp.126-130.<\/li>\n
    7. Hinata Sakamoto and Koichi Adachi<\/span><\/strong>, “Chirp Index Space Partitioning Based Multiple Access Technique,” in Proc. The 15th Int. Conf. on Ubiquitous and Future Networks (ICUFN 2024)<\/em>, Budapest, Hungary, 2-5 Jul. 2024.<\/li>\n
    8. Takahiro Saraya, Aoto Kaburaki, Koichi Adachi<\/strong><\/span>, Osamu Takyu, Takeo Fujii, and Mai Ohta, “Received Signal Aided Implicit Node Clustering in LPWAN,” in Proc. IEEE Veh. Technol. Conf. (VTC’24)-spring<\/em>, Singapore, Singapore, Jun. 2024.<\/li>\n
    9. Aoto Kaburaki, Koichi Adachi<\/strong><\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “LBT-based Resource Allocation Methods Utilizing Periodicity of Traffic in LPWAN<\/a>,” in Proc. Int. Conf. on Computing, Netw. and Commun. (ICNC 2024)<\/em>, pp.1059-1063, Big Island, Hawaii, USA, Feb. 19 – 22, 2024.<\/li>\n
    10. Hiroto Shida, Aoto Kaburaki, and Koichi Adachi<\/strong><\/span>, “Energy-Efficient Multi-hop LoRaWAN with Transmission and Synchronization Control<\/a>,” in Proc. Int. Conf. on Computing, Netw. and Commun. (ICNC 2024)<\/em>, pp.1048-1053, Big Island, Hawaii, USA, Feb. 19 – 22, 2024.<\/li>\n
    11. Hayato Mukasa, Koshiro Aruga, Takeo Fujii, and Koichi Adachi<\/span><\/strong>, \u201cIndoor Wireless Environment Visualization for Smart Factories,\u201d in Proc. ICOIN 2024<\/em>, Ho Chi Minh City, Vietnam, Jan. 2024.<\/li>\n
    12. Ryuji Miyamoto, Osamu Takyu, Hiroshi Fujiwara, Koichi Adachi<\/span><\/strong>, Mai Ohta, and Takeo Fujii, “Transmission Control for Highly Efficiency Data Gathering in Packet-Level Index Modulation,” in Proc. Int. Conf. on Emerging Technol. for Commun. (ICETC’24)<\/em>, Sapporo, Hokkaido, 29. Nov. – 1. Dec. 2023.<\/li>\n
    13. Toshi Ito, Osamu Takyu, Mai Ohta, Takeo Fujii, and Koichi Adachi<\/span><\/strong>, “Characterization of Discrimination of Number of Signal Collision Sensors Using Spectral Fluctuation Caused by Frequency Offset in Physical Wireless Parameter Conversion Sensor Networks,” in Proc. The 26th Int. Symp. on Wireless Personal Multimedia Commun. (WPMC 2023)<\/em>, Nov. 2023.<\/li>\n
    14. Ryogo Oya, Shinichiro Kakuda, Takeo Fujii, Osamu Takyu, Mai Ohta, and Koichi Adachi<\/span><\/strong>, “Packet-Level Index Modulation under Duty Cycle Constraints,” in Proc. The 26th Int. Symp. on Wireless Personal Multimedia Commun. (WPMC 2023)<\/em>, Nov. 2023.<\/li>\n
    15. Takumi Tanagi and Koichi Adachi<\/span><\/strong>, “Dynamic Path Planning for QoS Improvement in Multiple Automated Guided Vehicles<\/a>,” in Proc. 2023 VTS Asia Pacific Wireless Commun. Symp. (APWCS)<\/em>, pp.1-5, Tainan, Taiwan, 23-25, Aug. 2023.<\/li>\n
    16. Aoto Kaburaki, Koichi Adachi<\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Resource Allocation for Periodic Traffic in Wireless Sensor Network<\/a>,” in Proc. IEEE WCNC Int. Workshop on Smart Spectrum (IWSS 2023)<\/em>, Mar. 2023.<\/li>\n
    17. Toshi Ito, Osamu Takyu, Mai Ohta, Takeo Fujii, and Koichi Adachi<\/span>, “High-Sensitivity Detection Method for Signals in PhyC-SN,” in Proc. ICUFN 2022<\/em>, Jul. 2022. (Best Paper Award<\/strong>)<\/li>\n
    18. Ryuji Miyamoto, Osamu Takyu, Hiroshi Fujiwara, Koichi Adachi<\/span>, Mai Ohta, and Takeo Fujii, “Performance Evaluation of Highly Efficient Information Collection Methods by Trend Analysis of Sensor Information Using Pre-Learning,” in Proc. ICUFN 2022<\/em>, Jul. 2022.<\/li>\n
    19. Naotaka Hirayama, Takuya Kobayashi, and Koichi Adachi<\/span>, “Offloading Selection with Unequal Timeslot in Mobile Edge Computing<\/a> <\/i>,” in Proc. APSIPA ASC 2021<\/em>, pp.1963-1968, Dec. 2021.<\/li>\n
    20. Gaku Kobayashi, Osamu Takyu, Koichi Adachi<\/span>, Mai Ohta, and Takeo Fujii, “Estimation Accuracy to Channel Occupancy Ratio and Signal Power under Co-Channel Interference in LoRa,” in Proc. 2021 Int. Conf. on Emerging Technologies for Commun. (ICETC2021)<\/em>, Dec. 2021.<\/li>\n
    21. Shinichiro Kakuda, Yudai Yamazaki, Keita Katagiri, Takeo Fujii, Osamu Takyu, Mai Ohta, and Koichi. Adachi<\/span>, “Channel Allocation for LoRaWAN Considering Intra-System and Inter-System Interferences,” in Proc. IEEE Veh. Technol. Conf. (VTC’21-fall)<\/em>, Sept. 2021.<\/li>\n
    22. Gaku Kobayashi, Osamu Takyu, Koichi Adachi<\/span>, Mai Ohta, and Takeo Fujii, “Proposal of Interference Power Occupancy Estimation Method Using Chirp Demodulation,” in Proc. The 12th Int. Conf. on Ubiquitous and Future Networks (ICUFN 2021)<\/em>, Jeju Island, Korea & Virtual Conference, Aug. 17 – 20, 2021.<\/li>\n
    23. Muying Chen, Koichi Adachi<\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Transmission Timing Control Using ACK Signal in LoRaWAN<\/a> <\/i>,” in Proc. IEEE Wireless Commun. and Netw. Conf. (WCNC’21)<\/em>, Mar. – Apr. 2021.<\/li>\n
    24. Kohei Natsume, Mai Ohta, Koichi Adachi<\/span>, Osamu Takyu, and Takeo Fujii, “DCT Compression Scheme for Wireless Sensor Information Considering Spatial Correlation,” in Proc. Int. Conf. on Information Netw. (ICOIN 2021)<\/em>, pp.1-6, Jan. 2021.<\/li>\n
    25. Takuya Kobayashi and Koichi Adachi<\/span>, “Probabilistic Binary Offloading for Wireless Powered Mobile Edge Computing System,”\u00a0in Proc. APSIPA ASC 2020<\/em>, Dec. 2020.<\/li>\n
    26. Aoto Kaburaki, Koichi Adachi<\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Autonomous Decentralized Transmission Timing Control in Wireless Sensor Network,”\u00a0in Proc. APSIPA ASC 2020<\/em>, Dec. 2020.<\/li>\n
    27. Gaku Kobayashi, Osamu Takyu, Koichi Adachi<\/span>, Mai Ohta, and Takeo Fujii, “Estimation of Desired Power and Undesired Power Using Chirp Demodulation and Evaluation of Accuracy,” in Proc. APSIPA ASC 2020<\/em>, Dec. 2020.<\/li>\n
    28. Koichi Adachi<\/span>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Flexible LPWA Based on Environmental Dynamics<\/a> <\/i>,”\u00a0in Proc.\u00a02020 Int. Conf.\u00a0on Emerging Technologies\u00a0for Commun. (ICETC2020)<\/em>, Dec. 2020. (Invited Talk<\/strong>)<\/li>\n
    29. Sunao Miyamoto, Keita Katagiri, Koya Sato, Koichi Adachi<\/span>, and Takeo Fujii, “Highly Accurate Prediction of Radio Propagation Based on Compensation of Clutter Loss for Spectrum Sharing,” in Proc.\u00a02020 Int. Conf.\u00a0on Emerging Technologies\u00a0for Commun. (ICETC2020)<\/em>, Dec. 2020..<\/li>\n
    30. Kosuke Suzuki, Naoki Aihara, Koichi Adachi<\/span>, and Satoshi Yamazaki, “Autonomous Decentralized Frequency Resource Allocation using ACK Signal in LoRaWAN<\/a> <\/i>,” in Proc.\u00a023rd Int. \u00a0Symp. on Wireless Personal Multimedia Commun. (WPMC2020)<\/em>, Oct. 2020 (Best Student Paper Award<\/strong>).<\/li>\n
    31. M. Musashi and Koichi Adachi<\/u>, “Spectrum Database Aided Prior Vacant Frequency Band Detection for Spectrum Sharing<\/a> <\/i>,”\u00a0in Proc. The 2nd Int. Conf. on Artificial Intelligence and Information and Commun (ICAIIC 2020)<\/i>, Fukuoka, Japan, 19-21, Feb. 2020.<\/li>\n
    32. K. Takahashi and\u00a0Koichi Adachi<\/u>, “Base Station Operation Based on Affinity Propagation in Cellular Networks<\/a> <\/i>,”\u00a0in Proc. The 34th IEEE Int. Conf. on Information Netw. (ICOIN 2020)<\/i>, Barcelona, Spain, 7-10, Jan. 2020.<\/li>\n
    33. Hendrik Lumbantoruan\u00a0and\u00a0Koichi Adachi<\/u>, “Trajectory and Communication Protocol for Efficient Data Collecting in UAV-Enabled WSN<\/a> <\/i>,”\u00a0in Proc. The 34th IEEE Int. Conf. on Information Netw. (ICOIN 2020)<\/i>, Barcelona, Spain, 7-10, Jan. 2020.<\/li>\n
    34. Jumpei Kawakami, Hendrik Lumbantoruan, and\u00a0Koichi Adachi<\/u>, \u201cNOMA Based UAV Relay Communication Protocol in Cellular Network,”\u00a0in Proc. APSIPA 2019<\/i>, pp.1-6, Lanzhou, China, Nov. 2019.<\/li>\n
    35. Ryuji Kobayashi and Koichi Adachi<\/u>, “Radio and Computing Resource Allocation for Minimizing Total Processing Completion Time in Mobile Edge Computing,”\u00a0in Proc.\u00a0The 10th International Conference on ICT Convergence (ICTC 2019)<\/i>, Jeju Island, Korea, Oct. 2019. (Invited Talk)<\/li>\n
    36. M. Tanaka, K. Nagasue, J. Ogawa, A. Yokomichi, Y. Ando, T. Ojima, T. Shizuoka, Koichi Adachi<\/u>, and Takeo Fujii, “Proactive Cache System Using Cellular Radio Information on MEC,”\u00a0in Proc. The 11th Int. Conf. on Ubiquitous and Future Networks (ICUFN)<\/i>, The 1st Int. Workshop on Smart Radio for IoT Era (SRIoT 2019), pp.1-6, Croatia, 2-5, Jul. 2019.<\/li>\n
    37. Yudai Yamazaki, Takeo Fujii, Koichi Adachi<\/u>, Mai Ohta, and Osamu Takyu, “Spectrum Sharing Exploiting Spectrum Database for LPWA,”\u00a0in Proc. The 11th Int. Conf. on Ubiquitous and Future Networks (ICUFN)<\/i>, The 1st Int. Workshop on Smart Radio for IoT Era (SRIoT 2019), pp.1-6, Croatia, 2-5, Jul. 2019.\u00a0Best Paper Award<\/b><\/li>\n
    38. Hendrik Lumbantoruan and Koichi Adachi<\/u>, “Array Antenna for Power Saving of Sensor Nodes in UAV-BS enabled WSN<\/a>,”\u00a0in Proc. Int. Conf. on Computing, Networking and Commun. (ICNC 2019)<\/i>, pp.1-6, Hawaii, 18-21, Feb. 2019.<\/li>\n
    39. Naoki Aihara and Koichi Adachi<\/u>, “Orthogonal Resource Allocation Using SVM for CSMA\/CA,”\u00a0in Proc. APSIPA 2018<\/i>, pp.1-6, Hawaii, 12-15, Nov. 2018.<\/li>\n
    40. H. Godo, Osamu Takyu,\u00a0Koichi Adachi<\/u>, Mai Ohta, Takeo Fujii, F. Sasamori, and S. Handa, “Experimental Evaluation of Interference Robustness for Frequency Spectrum Sharing in WLAN System,”\u00a0in Proc. APSIPA 2018<\/i>, pp.1-6, Hawai, 12-15, Nov. 2018.<\/li>\n
    41. Mai Ohta,\u00a0Koichi Adachi<\/u>, Naoki Aihara, Osamu Takyu, and Takeo Fujii, “Measurement Experiments on 920 MHz Band for Spectrum Sharing with LoRaWAN,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’18-fall<\/i>, Aug. 2018.<\/li>\n
    42. Y. Sunada,\u00a0Koichi Adachi<\/u>, and Yasushi Yamao, “Throughput Analysis of Dynamic Multi-Hop Network Under High Traffic Load,”\u00a0in <\/i>Proc. ICUFN 2018<\/i>, pp.1-5, Jul. 2018.<\/li>\n
    43. Ernest Kurniawan, Peng Hui Tan,\u00a0Koichi Adachi<\/u>, and Sumei Sun, “Hybrid Group Paging for Massive Machine-Type Communications in LTE Networks,”\u00a0in Proc. IEEE Global Commun. Conf. (GLOBECOM) 2017<\/i>, pp.1-6, Dec. 2017.<\/li>\n
    44. A. Khadka,\u00a0Koichi Adachi<\/u>, Sumei Sun, J. Wang, H. Zhu, and J. Wang, “Cooperative Transmission Strategy over Users’ Mobility for Downlink Distributed Antenna Systems,”\u00a0in <\/i>Proc. IEEE Global Commun. Conf. (GLOBECOM) 2017<\/i>, pp.1-6, Dec. 2017.<\/li>\n
    45. Sumei Sun,\u00a0Koichi Adachi<\/u>, P. H. Tan, Y. Zhou, and E. Kurniawan, “Cognitive HetNet for 5G,”\u00a0in <\/i>Proc. IEEE Asia Pacific Wireless Commun. Symp. (APWCS) 2016<\/i>, Tokyo, Japan, Aug. 2016.<\/li>\n
    46. Koichi Adachi<\/u>, M. Li, P. H. Tan, Y. Zhou, and Sumei Sun, “Q-learning based intelligent traffic steering,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’16-spring<\/i>, pp.1-5, May, 2016<\/li>\n
    47. A. Khadka,\u00a0Koichi Adachi<\/u>\u00a0 Sumei Sun, H. Zhou, and J. Wang, “Cooperative transmission strategy for downlink distributed antenna systems over time-varying channel,”\u00a0in <\/i>Proc. IEEE Global Commun. Conf. (GLOBECOM) 2015<\/i>, pp.1-6, Dec. 2015<\/li>\n
    48. Sumei Sun, P. H. Tan, Y. Zhou,\u00a0Koichi Adachi<\/u>, M. Li, “AP based traffic steering for LTE-Wi-Fi networks,”\u00a0in <\/i>Proc. IEEE Int. Conf. on Commun. in China (ICCC) 2015<\/i>, pp.907-911, Nov. 2015 (Invited).<\/li>\n
    49. Sumei Sun, Koichi Adachi<\/u>, P. H. Tan, Y. Zhou, Jingon Joung, and C. K. Ho, “Heterogeneous network: an evolutionary path to 5G,”\u00a0in <\/i>Proc. Asia-Pacific Conf. on Commun., (APCC) 2015<\/i>, pp.1-5, Oct. 2015<\/li>\n
    50. Koichi Adachi<\/u> and Sumei Sun, “An asymmetric TDD distributed massive antenna system,”\u00a0in <\/i>Proc. IEEE Int. Conf. on Commun. in China (ICCC) 2013<\/i>, pp.583-587, Aug. 2013.<\/li>\n
    51. P. Tarasak, Koichi Adachi<\/u>, and Sumei Sun, “Cell selection for TDD two-tier cellular networks based on uplink-downlink capacity,”\u00a0in <\/i>Proc. IEEE Wireless Commun. and Networking Conf. (WCNC) 2013<\/i>, pp.2016-2021, Apr. 2013.<\/li>\n
    52. Koichi Adachi<\/u>, Jingon Joung, Sumei Sun, and P. H. Tan, “Energy-saving coordinated napping (CoNap) for Wireless Networks,”\u00a0in <\/i>Proc. IEEE Global Commun. Conf. (GLOBECOM) 2012 Workshop<\/i>, pp.1150-1154, Dec. 2012.<\/li>\n
    53. Koichi Adachi<\/u> and Sumei Sun, “Power-efficient dynamic BS muting in clustered cellular system,”\u00a0in <\/i>Proc. IEEE Int. Symp. on Personal, Indoor and Mobile Radio Commun. (PIMRC) 2012<\/i>, pp.1149-1154, Sep. 2012.<\/li>\n
    54. T. Yamamoto,\u00a0Koichi Adachi<\/u>\u00a0 Sumei Sun, and Fumiyuki Adachi, “Recursive QR packet combining for uplink single-carrier multi-user MIMO HARQ using near ML detection,”\u00a0in <\/i>Proc. 8th Int. Wireless Commun. & Mobile Computing Conf. (IWCMC) 2012<\/i>, pp.407-412, Aug. 2012 (Invited).<\/li>\n
    55. Koichi Adachi<\/u>, Jingon Joung, Sumei Sun, and P. H. Tan, “Inter-cell coordinated napping (CoNap) for energy saving in cellular networks,”\u00a0in <\/i>Proc. IEEE Asia Pacific Wireless Commun. Symp. (APWCS) 2012<\/i>, pp.1-5, Aug. 2012 (Invited).<\/li>\n
    56. Koichi Adachi<\/u>\u00a0and Sumei Sun, “Inter-sector cooperative relaying for network power minimization,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’12-spring<\/i>, pp.1-5, May 2012.<\/li>\n
    57. K. Takano,\u00a0Koichi Adachi<\/u>, and Tomoaki Ohtsuki, “Transmit and receive weights in vector coding with channel estimation error and feedback delay,”\u00a0in <\/i>Proc. IEEE Global Commun. Conf. (GLOBECOM) 2011<\/i>, pp.1-5, Dec. 2011.<\/li>\n
    58. K. Takeda,\u00a0Koichi Adachi<\/u>\u00a0 Sumei Sun, and Fumiyuki Adachi, “Single-carrier incremental relaying with joint Tx\/Rx FDE,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’12-fall<\/i>, pp.1-5, Sep. 2011.<\/li>\n
    59. Koichi Adachi<\/u>, Sumei Sun, and C. K. Ho, “Power minimization of cooperative relay transmission with relay’s private information,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’11-fall<\/i>, pp.1-5, Sep. 2011.<\/li>\n
    60. Koichi Adachi<\/u>, Sumei Sun, and C. K. Ho, “Rate splitting for power minimization of cooperative relay transmission,”\u00a0in <\/i>Proc. IEEE Asia Pacific Wireless Commun. Symp. (APWCS) 2011<\/i>, pp.1-5, Aug. 2011.<\/li>\n
    61. H. Kizuka,\u00a0Koichi Adachi<\/u>, and Tomoaki Ohtsuki, “Frequency band allocation in MIMO system based on received power difference among users,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’11-spring<\/i>, pp.1-5, May 2011.<\/li>\n
    62. K. Yamamoto,\u00a0Koichi Adachi<\/u>, and Tomoaki Ohtsuki, “Phase rotation sequence selection method for IFDMA with DDCE,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’11-spring<\/i>, pp.1-5, May 2011.<\/li>\n
    63. Koichi Adachi<\/u>, Sumei Sun, and C. K. Ho, “Cooperative relay transmission with relay’s private information,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’11-spring<\/i>, pp.1-5, May 2011.<\/li>\n
    64. T. Yamasaki, Osamu Takyu,\u00a0Koichi Adachi<\/u>\u00a0 Y. Umeda, and Masao Nakagawa, “Phase rotation for constructing uniform frequency spectrum in IFDMA communication,”\u00a0in <\/i>Proc. IEEE Int. Conf. on Commun. Syst. (ICCS) 2010<\/i>, pp.751-755, Nov. 2010.<\/li>\n
    65. Koichi Adachi<\/u>, H. Zhu, J. Wang, Fumiyuki Adachi, and Masao Nakagawa, “Adaptive transmission in distributed MIMO multiplexing,”\u00a0in <\/i>Proc. IEEE Int. Conf. on Commun. Syst. (ICCS) 2010<\/i>, pp.141-145, Nov. 2010.<\/li>\n
    66. Y. Kazama, A. Yamasaki,\u00a0Koichi Adachi<\/u>, and Masao Nakagawa, “Impact of frequency diversity and multi-user diversity in IFDMA,”\u00a0in <\/i>Proc. IEEE Veh. Technol. conf. (VTC)’10-spring<\/i>, pp.1-5, May 2010.<\/li>\n
    67. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “Iterative interference cancellation for multi-code PR\/MC-CDMA,”\u00a0in <\/i>Proc. IEEE Wireless Commun. & Networking Conf. (WCNC)’10<\/i>, pp.1-6, Apr. 2010.<\/li>\n
    68. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “Virtual MIMO space division multiplexing for MC-CDMA,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’09-fall<\/i>, pp.1-5, Sep. 2009.<\/li>\n
    69. N. Lynn, Osamu Takyu,\u00a0Koichi Adachi<\/u>, and Masao Nakagawa, “Selective cooperative relay system with ARQ exploiting inter-relay opportunistic listening,”\u00a0in <\/i>Proc. The 12th Int. Symp. on Wireless Personal Multimedia Commun, (WPMC)’09<\/i>, pp.1-5, Sep. 2009.<\/li>\n
    70. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “Capacity of MC-CDMA MIMO with imperfect interference cancellation,”\u00a0in <\/i>Proc. 12th Int. Symp. on Wireless Personal Multimedia Commun. (WPMC)’09<\/i>, pp.1-5, Sep. 2009.<\/li>\n
    71. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “Phase Rotation\/MC-CDMA for Uplink Transmission,”\u00a0in <\/i>Proc. Multi-Carrier System & Solutions (MC-SS)’09<\/i>, pp.1-5, May 2009.<\/li>\n
    72. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “On the construction of orthogonal code subgroups for MC-CDMA with FDE in a frequency selective channel,”\u00a0in <\/i>Proc. IEEE Wireless Commun. & Networking Conf. (WCNC)’09<\/i>, pp.1-6, Apr. 2009.<\/li>\n
    73. Nandarlynn,\u00a0Koichi Adachi<\/u>\u00a0 Osamu Takyu, and Masao Nakagawa, “Effect of channel mismatch on AMC in asymmetric TDD\/OFDM system with pre-equalization in downlink,”\u00a0in <\/i>Proc. 2008 Int. Symp. on Inform. Theory and its Applicat. (ISITA) 2008<\/i>, pp.1-6, Dec. 2008.<\/li>\n
    74. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “A study on channel capacities of MC-CDMA MIMO and OFDM MIMO,”\u00a0in <\/i>Proc. The 11th IEEE Int. Conf. on Commun. Syst. (ICCS) 2008<\/i>, pp.1384-1388, Nov. 2008.<\/li>\n
    75. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “Approximate channel capacity of MC-CDMA MIMO,”\u00a0in P<\/i>roc. The 11th Wireless Personal Multimedia Conf. (WPMC)’08<\/i>, pp.1-5, Sep. 2008.<\/li>\n
    76. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “Upper bound of cellular channel capacity,”\u00a0in P<\/i>roc. IEEE VTS Asia Pacific Wireless Commun. Symp. (APWCS)’08<\/i>, pp.1-5, Aug. 2008.<\/li>\n
    77. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “Cellular MIMO channel capacities of MC-CDMA and OFDM,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’08-spring<\/i>, pp.1980-1984, May 2008.<\/li>\n
    78. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “Bit-wise error detection based iterative signal detection for OFDM MIMO multiplexing,”\u00a0in <\/i>Proc. IEEE Wireless Commun. & Networking Conf. (WCNC) 2008<\/i>, pp.929-934, Apr. 2008.<\/li>\n
    79. W. Li, Osamu Takyu,\u00a0Koichi Adachi<\/u>, and Masao Nakagawa, “Performance evaluation of decision directed channel estimation for single user IFDMA,”\u00a0in <\/i>Proc. IEEE Radio and Wireless Symp. (RWS) 2008<\/i>, pp.659-662, Jan. 2008.<\/li>\n
    80. Koichi Adachi<\/u>, Fumiyuki Adachi, and Masao Nakagawa, “On cellular MIMO spectrum efficiency,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’07-fall<\/i>, pp.417-421, Oct. 2007.<\/li>\n
    81. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “Throughput performance of HARQ with OFDM MIMO-SDM using iterative modified QRD-M,”\u00a0in <\/i>Proc. IEEE Asia Pacific Wireless Commun. Symp. (APWCS)’07<\/i>, pp.1-5, Aug. 2007.<\/li>\n
    82. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “Theoretical analysis of decision directed block iterative channel estimation for OFDM mobile radio,”\u00a0in <\/i>Proc. 10th IEEE Int. Conf. on Commun. Syst. (ICCS)’06<\/i>, pp.1-5, Nov. 2006.<\/li>\n
    83. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “LDPC coded iterative signal detection based on QRD-M,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’06-fall<\/i>, pp.1-5, Sep. 2006.<\/li>\n
    84. Y. Fukuyama, Osamu Takyu,\u00a0Koichi Adachi<\/u>, and Masao Nakagawa, “Relay method of sending soft decision symbol based on the result of error detecting code in cooperative communication,”\u00a0in <\/i>Proc. IASTED Int. Conf. Commun. Syst. and Networks (CSN) 2006<\/i>, pp.131-136, Aug. 2006.<\/li>\n
    85. Koichi Adachi<\/u>\u00a0and Masao Nakagawa, “Iterative modified QRD-MLD based on CRC check for OFDM MIMO multiplexing,”\u00a0in <\/i>Proc. IEEE Veh. Technol. Conf. (VTC)’06-spring<\/i>, pp.1353-1357, May 2006.<\/li>\n
    86. Koichi Adachi<\/u>, R. Esmailzadeh, Masao Nakagawa, H. Kawai, and K. Higuchi, “Accurate channel estimation method using decision feedback data symbols after soft-decision Turbo decoding in QRM-MLD for OFDM MIMO multiplexing,”\u00a0in <\/i>Proc. Wireless Personal Multimedia Conf. (WPMC)’05<\/i>, pp.716-720, Sep. 2005.<\/li>\n<\/ol>\n

      <\/i> Domestic Conference<\/h3>\n
        \n
      1. \u4f0a\u85e4\u5229, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, \u5b89\u9054\u5b8f\u4e00<\/span>, “[\u30b7\u30e7\u30fc\u30c8\u30da\u30fc\u30d1\u30fc] \u7121\u7dda\u7269\u7406\u91cf\u5909\u63db\u4e00\u62ec\u53ce\u96c6\u6cd5\u306b\u304a\u3051\u308b\u5236\u7d04\u4ed8\u304d\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u66f4\u65b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u30bb\u30f3\u30b5\u60c5\u5831\u306e\u7279\u5b9a\u624b\u6cd5\u306e\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 369, SR2024-89, pp. 101-105, 2025\u5e741\u6708.<\/li>\n
      2. \u8d64\u9808\u8ce2\u53f8, \u9752\u5c71\u5de7\u8cb4, \u66f4\u5c4b\u8cb4\u5927, \u5b89\u9054\u5b8f\u4e00<\/span>, “LoRaWAN\u306b\u304a\u3051\u308bACK\u3092\u5fc5\u8981\u3068\u3057\u306a\u3044\u30de\u30eb\u30c1\u30db\u30c3\u30d7\u518d\u9001\u5236\u5fa1,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 366, RCS2024-235, pp. 150-155, 2025\u5e741\u6708.<\/li>\n
      3. \u4e0a\u7530\u606d\u5e73, \u5b89\u9054\u5b8f\u4e00<\/span>, “Joint Phase-Time Arrays\u306e\u5fdc\u7528\u306b\u3088\u308b\u5230\u6765\u65b9\u5411\u63a8\u5b9a,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 366, RCS2024-236, pp. 156-161, 2025\u5e741\u6708.<\/li>\n
      4. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, Dusit Niyato, “LoRa\u5909\u8abf\u3092\u6d3b\u7528\u3057\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u30b7\u30b9\u30c6\u30e0\u5916\u5e72\u6e09\u691c\u77e5\u6cd5\u306e\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 366, RCS2024-246, pp. 214-219, 2025\u5e741\u6708.<\/li>\n
      5. \u9f4a\u85e4\u7a1c\u5f25, \u5b89\u9054\u5b8f\u4e00<\/span>,”\u5206\u6570\u62e1\u6563\u7387LoRa\u4fe1\u53f7\u306e\u5e72\u6e09\u91cf\u5b9a\u91cf\u5316\u304a\u3088\u3073\u591a\u91cd\u4f1d\u9001\u306b\u304a\u3051\u308b\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, 2024\u5e7412\u6708\uff08\u767a\u8868\u4e88\u5b9a\uff09.<\/li>\n
      6. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, “\u53d7\u4fe1\u7a93\u30bf\u30a4\u30df\u30f3\u30b0\u30ad\u30e3\u30ea\u30a2\u30bb\u30f3\u30b9\u306b\u57fa\u3065\u304f\u5206\u6563\u578bMAC,” \u4fe1\u5b66\u6280\u5831, 2024\u5e7412\u6708\uff08\u767a\u8868\u4e88\u5b9a\uff09.<\/li>\n
      7. \u5b89\u9054\u5b8f\u4e00<\/span>, “[\u62db\u5f85\u8b1b\u6f14] \u7701\u96fb\u529b\u5e83\u57df\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08LPWAN\uff09\u306b\u304a\u3051\u308b\u7121\u7dda\u8cc7\u6e90\u5272\u308a\u5f53\u3066\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol.124, no.253, RCS2024-161, p. 50, 2024\u5e7411\u6708.<\/li>\n
      8. \u6b66\u7b20\u96bc\u6597, \u6e6f\u6fa4\u6602\u5e73, \u85e4\u4e95\u5a01\u751f, \u5b89\u9054\u5b8f\u4e00<\/span>, “\uff3b\u30dd\u30b9\u30bf\u30fc\u8b1b\u6f14\uff3d\u30b9\u30de\u30fc\u30c8\u30d5\u30a1\u30af\u30c8\u30ea\u306b\u304a\u3051\u308b\u5c4b\u5185\u7121\u7dda\u74b0\u5883\u63a8\u5b9a\u6280\u8853\u306e\u691c\u8a0e,” RISING\u7814\u7a76\u4f1a, 2024\u5e7411\u670811\u65e5.\u00a0<\/li>\n
      9. \u5b89\u9054\u5b8f\u4e00<\/span>, \u85e4\u4e95\u5a01\u751f, \u6210\u672b\u7fa9\u54f2, \u4e80\u7530\u5353, \u91ce\u4e2d\u826f\u54f2, “[\u62db\u5f85\u8b1b\u6f14] \u5c4b\u5185\u5de5\u5834\u74b0\u5883\u306b\u304a\u3051\u308b\u60c5\u5831\u30fb\u96fb\u529b\u7d71\u5408\u4f1d\u9001\u81ea\u55b6B5G\/6G\u306b\u5411\u3051\u305f\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 233, SR2024-61, pp. 39-44, 2024\u5e7411\u6708.<\/li>\n
      10. \u9f4a\u85e4\u7a1c\u5f25, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30ca\u30a4\u30ad\u30b9\u30c8\u30ec\u30fc\u30c8\u306b\u3088\u308b\u5206\u6570\u62e1\u6563\u7387LoRa\u306e\u63d0\u6848,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 107, RCS2024-93, pp. 40-45, 2024\u5e7407\u670817\u65e5.<\/li>\n
      11. \u9752\u5c71\u5de7\u8cb4, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u53d7\u4fe1\u91cd\u7573\u30c1\u30e3\u30fc\u30d7\u4fe1\u53f7\u6ce2\u5f62\u306b\u57fa\u3065\u304f\u30a4\u30d9\u30f3\u30c8\u6e90\u63a8\u5b9a\u624b\u6cd5,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 107, RCS2024-92, pp. 34-39, 2024\u5e7407\u670817\u65e5.<\/li>\n
      12. \u5409\u5ddd\u7d18\u5927\u6717, \u68da\u6728\u62d3\u6d77, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30b9\u30de\u30fc\u30c8\u30d5\u30a1\u30af\u30c8\u30ea\u306b\u304a\u3051\u308b\u901a\u4fe1\u54c1\u8cea\u3092\u8003\u616e\u3057\u305fAGV\u306e\u7d4c\u8def\u8a08\u753b\u3068\u7121\u7dda\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u306e\u7d71\u5408\u7684\u8a55\u4fa1,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 107, RCS2024-91, pp. 28-33, 2024\u5e7407\u670817\u65e5.\u00a0<\/li>\n
      13. \u6e21\u90e8\u5927\u5730, \u5409\u5ddd\u7d18\u5927\u6717, \u5b89\u9054\u5b8f\u4e00<\/span>, “Industrial IoT\u74b0\u5883\u4e0b\u3067\u306eWPT\u5b9f\u73fe\u306b\u5411\u3051\u305f\u6642\u9593\u30fb\u5468\u6ce2\u6570\u8cc7\u6e90\u5272\u308a\u5f53\u3066\u306e\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 107, RCS2024-86, pp. 12-17, 2024\u5e7407\u670817\u65e5.<\/li>\n
      14. \u4f0a\u85e4\u5229, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u7121\u7dda\u7269\u7406\u91cf\u5909\u63db\u4e00\u62ec\u53ce\u96c6\u6cd5\u306b\u3088\u308b\u79fb\u52d5\u96c6\u7d04\u5c40\u3092\u7528\u3044\u305f\u74b0\u5883\u8a8d\u8b58\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4e00\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 108, SR2024-33, pp. 40-44, 2024\u5e747\u6708.<\/li>\n
      15. \u592a\u7530\u771f\u8863, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/span>, \u85e4\u4e95\u5a01\u751f, “[\u4f9d\u983c\u8b1b\u6f14] \u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u65b9\u5f0f\u306e\u5b9f\u6a5f\u8a55\u4fa1,” \u4fe1\u5b66\u6280\u5831, vol. 124, no. 52, RCS2024-19, pp. 25-25, 2024\u5e745\u6708.<\/li>\n
      16. \u5bae\u672c\u9686\u53f8, \u7530\u4e45\u4fee, \u85e4\u539f\u6d0b\u5fd7, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u4ed6\u30b7\u30b9\u30c6\u30e0\u5e72\u6e09\u3092\u8003\u616e\u3057\u305f\u6700\u9069\u30de\u30c3\u30d4\u30f3\u30b0\u8a2d\u8a08,” \u4fe1\u5b66\u7dcf\u5927, B-17-12, 2024\u5e7403\u670805\u65e5.<\/li>\n
      17. \u5927\u5c4b\u8ad2\u609f, \u85e4\u4e95\u5a01\u751f, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u5e72\u6e09\u4f4e\u6e1b\u53ef\u80fd\u306a\u5e2f\u57df\u5e45\u53ef\u5909LoRa\u306e\u691c\u8a0e,” \u4fe1\u5b66\u7dcf\u5927, B-5A-105, 2024\u5e7403\u670808\u65e5.<\/li>\n
      18. \u5409\u5ddd\u7d18\u5927\u6717, \u68da\u6728\u62d3\u6d77, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u79fb\u52d5\u5148\u306e\u7d71\u8a08\u7684\u30c1\u30e3\u30cd\u30eb\u72b6\u6cc1\u3092\u8003\u616e\u3057\u305f\u7121\u7dda\u8cc7\u6e90\u5272\u308a\u5f53\u3066\u624b\u6cd5\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u7dcf\u5927, B-5A-76, 2024\u5e7403\u670808\u65e5.<\/li>\n
      19. \u68da\u6728\u62d3\u6d77, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u88fd\u9020\u5de5\u5834\u306b\u304a\u3051\u308b\u81ea\u52d5\u642c\u9001\u8eca\u306e\u901a\u4fe1\u54c1\u8cea\u3092\u8003\u616e\u3057\u305f\u7d4c\u8def\u8d70\u884c\u5b9f\u9a13<\/a>,” \u4fe1\u5b66\u7dcf\u5927, B-5A-75, 2024\u5e7403\u670808\u65e5.<\/li>\n
      20. \u5c0f\u5ddd\u52c7\u8cb4, \u77f3\u6a4b\u5b5d\u4e00\u90ce, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30bb\u30f3\u30b5\u30ce\u30fc\u30c9\u3068\u901a\u4fe1\u7d4c\u8def\u306e\u591a\u91cd\u5316\u306b\u3088\u308b Beat Sensor \u3092\u7528\u3044\u305f\u7701\u30a8\u30cd\u7167\u660e\u30b7\u30b9\u30c6\u30e0\u306e\u52d5\u4f5c\u5b89\u5b9a\u5316<\/a>,” \u4fe1\u5b66\u7dcf\u5927, B-5B-38, 2024\u5e7403\u670808\u65e5.<\/li>\n
      21. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u52d5\u7684\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30c8\u30dd\u30ed\u30b8\u30fc\u74b0\u5883\u306b\u304a\u3051\u308b\u30ea\u30bd\u30fc\u30b9\u5272\u5f53\u6cd5\u306e\u8a55\u4fa1<\/a>,” \u4fe1\u5b66\u7dcf\u5927, B-5B-19, 2024\u5e7403\u670806\u65e5.<\/li>\n
      22. \u5fd7\u7530\u6d0b\u6597, \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, “LoRaWAN\u30de\u30eb\u30c1\u30db\u30c3\u30d7\u901a\u4fe1\u306b\u304a\u3051\u308b\u9001\u4fe1\u5236\u5fa1\u304a\u3088\u3073\u540c\u671f\u5236\u5fa1\u3092\u7528\u3044\u305f\u7701\u96fb\u529b\u5316\u306e\u5b9f\u6a5f\u8a55\u4fa1<\/a>,” \u4fe1\u5b66\u7dcf\u5927, B-5B-18, 2024\u5e7403\u670806\u65e5.<\/li>\n
      23. \u9f4a\u85e4\u7a1c\u5f25, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u5206\u6570\u62e1\u6563\u7387\u3092\u7528\u3044\u305fLoRa\u4fe1\u53f7\u306b\u304a\u3051\u308b\u5fa9\u8abf\u51e6\u7406\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u7dcf\u5927, B-5B-17, 2024\u5e7403\u670806\u65e5<\/li>\n
      24. \u5742\u672c\u967d\u5411\uff0c\u5b89\u9054\u5b8f\u4e00<\/span>\uff0c”\u30c1\u30e3\u30fc\u30d7\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u7a7a\u9593\u5206\u5272\u306b\u57fa\u3065\u304f\u591a\u5143\u63a5\u7d9a\u65b9\u5f0f<\/a>,”\u4fe1\u5b66\u6280\u5831, vol. 123, no. 340, RCS2023-220, pp. 76-81, 2024\u5e741\u6708.<\/li>\n
      25. \u66f4\u5c4b\u8cb4\u5927\uff0c\u856a\u6728\u78a7\u4ec1\uff0c\u5b89\u9054\u5b8f\u4e00<\/span>\uff0c\u7530\u4e45\u4fee\uff0c\u85e4\u4e95\u5a01\u751f\uff0c\u592a\u7530\u771f\u8863, “\u53d7\u4fe1\u4fe1\u53f7\u304b\u3089\u63a8\u5b9a\u53ef\u80fd\u306a\u7aef\u672b\u76f8\u4e92\u95a2\u4fc2\u306b\u57fa\u3065\u304f\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 123, no. 308, RCS2023-191, pp. 70-75, 2023\u5e7412\u6708.<\/li>\n
      26. \u7530\u4e45\u4fee, \u856a\u6728\u78a7\u4ec1, \u5c0f\u6c60\u60a0\u5927, \u5927\u5c4b\u8ad2\u609f, \u5fd7\u7530\u6d0b\u6597, \u5b89\u9054\u5b8f\u4e00<\/span>, \u85e4\u4e95\u5a01\u751f, \u201c[\u6280\u8853\u5c55\u793a] \u7121\u7dda\u30fb\u30bb\u30f3\u30b5\u74b0\u5883\u9069\u5fdc\u578bLPWA\u306e\u5b9f\u6a5f\u691c\u8a3c,\u201d \u4fe1\u5b66\u6280\u5831, vol. 123, no. 249, SR2023-64, pp. 83-89, 2023\u5e7411\u6708.<\/li>\n
      27. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u96a0\u308c\u7aef\u672b\u554f\u984c\u3092\u8003\u616e\u3057\u305f\u81ea\u5f8b\u5206\u6563\u578b\u30ea\u30bd\u30fc\u30b9\u5272\u5f53\u3066\u6cd5<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 123, no. 224, RCS2023-131, pp. 19-24, 2023\u5e7410\u6708.<\/li>\n
      28. \u5fd7\u7530\u6d0b\u6597, \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, “LoRaWAN\u30de\u30eb\u30c1\u30db\u30c3\u30d7\u901a\u4fe1\u306b\u304a\u3051\u308b\u9001\u4fe1\u5236\u5fa1\u304a\u3088\u3073\u540c\u671f\u5236\u5fa1\u3092\u7528\u3044\u305f\u7701\u96fb\u529b\u5316\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 123, no. 224, RCS2023-130, pp. 13-18, 2023\u5e7410\u6708.<\/li>\n
      29. \u9f4a\u85e4\u7a1c\u5f25, \u5b89\u9054\u5b8f\u4e00<\/span>, \u85e4\u4e95\u5a01\u751f, \u718a\u7530\u907c\u6c70, “LoRa\u4fe1\u53f7\u306b\u304a\u3051\u308b\u5206\u6570\u62e1\u6563\u7387\u306e\u691c\u8a0e\u304a\u3088\u3073\u5fa9\u8abf\u65b9\u6cd5\u306e\u63d0\u6848<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 123, no. 224, RCS2023-129, pp. 7-12, 2023\u5e7410\u6708.<\/li>\n
      30. \u68da\u6728\u62d3\u6d77, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30b9\u30de\u30fc\u30c8\u30d5\u30a1\u30af\u30c8\u30ea\u306b\u304a\u3051\u308b\u901a\u4fe1\u54c1\u8cea\u5411\u4e0a\u306e\u305f\u3081\u306e\u885d\u7a81\u56de\u907f\u3092\u8003\u616e\u3057\u305f\u67d4\u8edf\u306a\u7d4c\u8def\u8a08\u753b<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 123, no. 224, RCS2023-128, pp. 1-6, 2023\u5e7410\u6708.<\/li>\n
      31. \u5c0f\u5ddd\u52c7\u8cb4, \u77f3\u6a4b\u5b5d\u4e00\u90ce\uff0c\u5b89\u9054\u5b8f\u4e00<\/span>, “\u30ab\u30fc\u30c9\u578bEH Beat Sensor\u3092\u7528\u3044\u305f\u7701\u30a8\u30cd\u7167\u660e\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0<\/a>,” \u4fe1\u5b66\u30bd\u5927, B-15-3, 2023\u5e749\u6708.<\/li>\n
      32. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u8907\u6570\u9001\u4fe1\u5468\u671f\u74b0\u5883\u306b\u304a\u3051\u308b\u81ea\u5f8b\u5206\u6563\u578b\u30ea\u30bd\u30fc\u30b9\u5272\u5f53\u6cd5\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u30bd\u5927, B-5-76, 2023\u5e749\u6708.<\/li>\n
      33. \u68da\u6728\u62d3\u6d77, \u5b89\u9054\u5b8f\u4e00<\/span>, , “\u30b9\u30de\u30fc\u30c8\u30d5\u30a1\u30af\u30c8\u30ea\u306b\u304a\u3051\u308b\u901a\u4fe1\u54c1\u8cea\u3092\u8003\u616e\u3057\u305f\u79fb\u52d5\u7d4c\u8def\u6700\u9069\u5316<\/a>,” \u4fe1\u5b66\u30bd\u5927, B-5-64, 2023\u5e749\u6708.<\/li>\n
      34. \u5bae\u672c\u9686\u53f8, \u7530\u4e45\u4fee, \u85e4\u539f\u6d0b\u5fd7, \u5b89\u9054\u5b8f\u4e00, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u30a8\u30ea\u30a2\u63a8\u5b9a\u3092\u6d3b\u7528\u3057\u305f\u74b0\u5883\u8a8d\u8b58\u578b\u96c6\u7d04\u306e\u4e00\u691c\u8a0e,” \u4fe1\u5b66\u30bd\u5927, B-17-10, 2023\u5e749\u6708.<\/li>\n
      35. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f\uff0c “\u30ad\u30e3\u30ea\u30a2\u30bb\u30f3\u30b9\u3068\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u306e\u5468\u671f\u6027\u3092\u6d3b\u7528\u3057\u305f\u81ea\u5f8b\u5206\u6563\u578b\u30ea\u30bd\u30fc\u30b9\u5272\u5f53\u6cd5\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 123, no. 76, RCS2023-46, pp. 105-110, 2023\u5e746\u6708.<\/li>\n
      36. \u66f4\u5c4b\u8cb4\u5927, \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00, “LoRaWAN\u306b\u304a\u3051\u308bClassB\u30e2\u30fc\u30c9\u3092\u7528\u3044\u305f\u7aef\u672b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 123, no. 76, RCS2023-35, pp. 43-48, 2023\u5e746\u6708.<\/li>\n
      37. \u718a\u7530\u907c\u6c70,\u00a0\u5b89\u9054\u5b8f\u4e00<\/span>, “LoRaWAN\u306b\u304a\u3051\u308b\u30de\u30eb\u30c1\u30ad\u30e3\u30ea\u30a2WPT \u5e72\u6e09\u9664\u53bb\u6cd5\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u7dcf\u5927, B-5-149, 2023\u5e743\u670810\u65e5.\u00a0<\/li>\n
      38. \u5e73\u5c71\u5c1a\u8cb4, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u5230\u6765\u65b9\u5411\u63a8\u5b9a\u7cbe\u5ea6\u5411\u4e0a\u306e\u305f\u3081\u306e\u4f7f\u7528\u30a2\u30f3\u30c6\u30ca\u7d20\u5b50\u9078\u629e\u624b\u6cd5\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 122, no. 357, RCS2022-230, pp. 126-131, 2023\u5e741\u6708.\uff08RCS\u7814\u7a76\u4f1a\u521d\u5e74\u5ea6\u767a\u8868\u8005\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u512a\u79c0\u8cde\u53d7\u8cde<\/b>\uff09<\/li>\n
      39. \u5fd7\u7530\u6d0b\u6597, \u9234\u6728\u5eb7\u4ecb, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u5468\u6ce2\u6570\u30c1\u30e3\u30cd\u30eb\u6bce\u306eDC\u74b0\u5883\u4e0b\u306b\u304a\u3051\u308b\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 122, no. 252, RCS2022-156, pp. 7-12, 2022\u5e7411\u6708.<\/li>\n
      40. \u68da\u6728\u62d3\u6d77, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30de\u30eb\u30c1\u30e6\u30fc\u30b6MEC\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u79fb\u52d5\u30e6\u30fc\u30b6\u306e\u7d4c\u8def\u8a2d\u8a08\u53ca\u3073\u8cc7\u6e90\u5272\u5f53<\/a>,” \u4fe1\u5b66\u6280\u5831, vol. 122, no. 252, RCS2022-155, pp. 1-6, 2022\u5e7411\u6708.<\/li>\n
      41. \u4f0a\u85e4\u5229, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, \u5b89\u9054\u5b8f\u4e00<\/span>, “\uff3b\u30b7\u30e7\u30fc\u30c8\u30da\u30fc\u30d1\u30fc\uff3d\u7269\u7406\u91cf\u5909\u63db\u4e00\u62ec\u53ce\u96c6\u6cd5\u306b\u304a\u3051\u308b\u642c\u9001\u6ce2\u5468\u6ce2\u6570\u30aa\u30d5\u30bb\u30c3\u30c8\u306e\u5207\u308a\u66ff\u3048\u306b\u3088\u308b\u53ce\u96c6\u7cbe\u5ea6\u306e\u5411\u4e0a,” \u4fe1\u5b66\u6280\u5831, vol. 122, no. 243, SR2022-59, pp. 78-83, 2022\u5e7411\u6708.<\/li>\n
      42. \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, “\uff3b\u62db\u5f85\u8b1b\u6f14\uff3d\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u65b9\u5f0f\u306e\u5b9f\u7528\u5316\u691c\u8a0e\u306b\u3064\u3044\u3066,” \u4fe1\u5b66\u6280\u5831, vol. 122, no. 243, SR2022-50, pp. 29, 2022\u5e7411\u6708.\u00a0<\/li>\n
      43. \u5bae\u672c\u9686\u53f8, \u7530\u4e45\u4fee, \u85e4\u539f\u6d0b\u5fd7, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\uff3b\u30b7\u30e7\u30fc\u30c8\u30da\u30fc\u30d1\u30fc\uff3d\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u9001\u4fe1\u5236\u5fa1\u3092\u8003\u616e\u3057\u305f\u6700\u9069\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u8a2d\u8a08\u306e\u6539\u826f,” \u4fe1\u5b66\u6280\u5831, vol. 122, no. 243, SR2022-49, pp. 24-28, 2022\u5e7411\u6708.\u00a0<\/li>\n
      44. \u4f0a\u85e4\u5229, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u7121\u7dda\u7269\u7406\u91cf\u5909\u63db\u4e00\u62ec\u53ce\u96c6\u6cd5\u306b\u304a\u3051\u308b\u9577\u533a\u9593FFT\u306b\u3088\u308b\u4fe1\u53f7\u691c\u51fa\u6cd5,” \u4fe1\u5b66\u30bd\u5927, B-17-11, 2022\u5e749\u6708.<\/li>\n
      45. \u5bae\u672c\u9686\u53f8, \u7530\u4e45\u4fee, \u85e4\u539f\u6d0b\u5fd7, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u9001\u4fe1\u5236\u5fa1\u3092\u6d3b\u7528\u3057\u305f\u60c5\u5831\u53ce\u96c6\u6cd5\u306e\u7279\u6027\u8a55\u4fa1,” \u4fe1\u5b66\u30bd\u5927, B-17-10, 2022\u5e749\u6708.<\/li>\n
      46. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30af\u30ed\u30c3\u30af\u30c9\u30ea\u30d5\u30c8\u88dc\u511f\u8aa4\u5dee\u306b\u8d77\u56e0\u3059\u308b\u30d1\u30b1\u30c3\u30c8\u885d\u7a81\u56de\u907f\u6cd5\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u30bd\u5927, B-5-66, 2022\u5e749\u6708.<\/li>\n
      47. \u9db4\u898b\u5eb7\u5e73,\u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30c1\u30e3\u30fc\u30d7\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u7a7a\u9593\u5206\u5272\u306b\u57fa\u3065\u304fLoRa\u4fe1\u53f7\u306e\u8aa4\u691c\u51fa\u78ba\u7387\u4f4e\u6e1b\u624b\u6cd5<\/a>,” \u4fe1\u5b66\u30bd\u5927, B-5-64, 2022\u5e749\u6708.<\/li>\n
      48. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u7530\u4e45\u4fee, \u85e4\u4e95\u5a01\u751f, “LPWAN\u306b\u304a\u3051\u308b\u30af\u30ed\u30c3\u30af\u30c9\u30ea\u30d5\u30c8\u3092\u6d3b\u304b\u3057\u305f\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u6cd5<\/a>,” \u4fe1\u5b66\u6280\u5831, vol.122, no.164, RCS2022-111, pp.78-83, 2022\u5e748\u6708.<\/li>\n
      49. \u718a\u7530\u907c\u6c70, \u5b89\u9054\u5b8f\u4e00<\/span>, “LoRaWAN\u306b\u304a\u3051\u308bWPT\u5e72\u6e09\u9664\u53bb\u6cd5<\/a>,” \u4fe1\u5b66\u6280\u5831, vol.122, no.164, RCS2022-112, pp.84-89, 2022\u5e748\u6708.<\/li>\n
      50. \u9234\u6728\u5eb7\u4ecb, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u7530\u4e45\u4fee, \u85e4\u4e95\u5a01\u751f, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u30c1\u30e3\u30cd\u30eb\u30a2\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u691c\u51fa\u3092\u7528\u3044\u305f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30de\u30c3\u30d4\u30f3\u30b0\u624b\u6cd5\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol.122, no.164, RCS2022-122, pp.144-149, 2022\u5e748\u6708.<\/li>\n
      51. \u5bae\u672c\u9686\u53f8, \u7530\u4e45\u4fee, \u85e4\u539f\u6d0b\u5fd7, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\uff3b\u30b7\u30e7\u30fc\u30c8\u30da\u30fc\u30d1\u30fc\uff3d\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u96c6\u7d04\u7cbe\u5ea6\u3092\u9ad8\u3081\u308b\u6700\u9069\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u8a2d\u8a08,” \u4fe1\u5b66\u6280\u5831, vol. 122, no. 107, SR2022-37, pp. 74-78, 2022\u5e747\u6708.<\/li>\n
      52. \u5927\u5c4b\u8ad2\u609f, \u89d2\u7530\u771f\u4e00\u6717, \u85e4\u4e95\u5a01\u751f, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u9001\u4fe1\u6642\u9593\u5236\u9650\u3092\u8003\u616e\u3057\u305f\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u65b9\u5f0f\u306e\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol.122, no.107, SR2022-44, pp.110-115, 2022\u5e747\u6708.<\/li>\n
      53. \u4f0a\u85e4\u5229, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u7269\u7406\u91cf\u5909\u63db\u4e00\u62ec\u53ce\u96c6\u6cd5\u306b\u304a\u3051\u308b\u4fe1\u53f7\u306e\u9ad8\u611f\u5ea6\u691c\u51fa\u6cd5,” vol.122, no.107, SR2022-43, pp.104-109, 2022\u5e747\u6708.<\/li>\n
      54. \u5bae\u672c\u9686\u53f8, \u7530\u4e45\u4fee, \u85e4\u539f\u6d0b\u5fd7, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30bb\u30f3\u30b5\u60c5\u5831\u306e\u50be\u5411\u5206\u6790\u3092\u5229\u7528\u3057\u305f\u9ad8\u52b9\u7387\u306a\u60c5\u5831\u53ce\u96c6\u6cd5\u306e\u7279\u6027\u8a55\u4fa1,” \u4fe1\u5b66\u6280\u5831, vol.122, no.12, SR2022-15, pp.61-66, 2022\u5e745\u6708.<\/li>\n
      55. \u4f0a\u85e4\u5229, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u7269\u7406\u91cf\u5909\u63db\u4e00\u62ec\u53ce\u96c6\u6cd5\u306b\u304a\u3051\u308b\u5468\u6ce2\u6570\u30aa\u30d5\u30bb\u30c3\u30c8\u3068\u30a8\u30cd\u30eb\u30ae\u30fc\u691c\u77e5\u3092\u4f75\u7528\u3057\u305f\u885d\u7a81\u691c\u77e5,” \u7dcf\u5408\u5927\u4f1a, B-17-12, 2022\u5e743\u6708.<\/li>\n
      56. \u5bae\u672c\u9686\u53f8, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30a4\u30d9\u30f3\u30c8\u4f4d\u7f6e\u63a8\u5b9a\u3092\u6d3b\u7528\u3057\u305f\u30bb\u30f3\u30b5\u60c5\u5831\u306e\u50be\u5411\u5206\u6790\u306b\u3088\u308b\u9ad8\u52b9\u7387\u306a\u60c5\u5831\u53ce\u96c6\u6cd5,” \u7dcf\u5408\u5927\u4f1a, B-17-11, 2022\u5e743\u6708.<\/li>\n
      57. \u6b66\u7530\u4f73\u592a, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “429MHzLoRa\/FSK\u306b\u304a\u3051\u308b\u30d1\u30b1\u30c3\u30c8\u30ec\u30d9\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306e\u5b9f\u88c5,” \u7dcf\u5408\u5927\u4f1a, B-17-10, 2022\u5e743\u6708.<\/li>\n
      58. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “LPWAN\u306b\u304a\u3051\u308b\u901a\u4fe1\u306e\u5468\u671f\u6027\u3092\u6d3b\u304b\u3057\u305f\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u6cd5<\/a>,” \u7dcf\u5408\u5927\u4f1a, B-5-87, 2022\u5e743\u6708.<\/li>\n
      59. \u9db4\u898b\u5eb7\u5e73, \u9234\u6728\u5eb7\u4ecb, \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u8907\u6570\u5468\u6ce2\u6570\u30c1\u30e3\u30cd\u30eb\u3092\u7528\u3044\u308b\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306e\u5b9f\u6a5f\u8a55\u4fa1<\/a>,” \u7dcf\u5408\u5927\u4f1a, B-5-86, 2022\u5e743\u6708.<\/li>\n
      60. \u5c0f\u6797\u5cb3, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “LoRa\u306b\u304a\u3051\u308b\u540c\u4e00\u30c1\u30e3\u30cd\u30eb\u5e72\u6e09\u96fb\u529b\u53ca\u3073\u5360\u6709\u7387\u63a8\u5b9a\u6cd5\u306b\u3088\u308b\u9069\u5fdc\u30c1\u30e3\u30cd\u30eb\u9078\u629e,” \u4fe1\u5b66\u6280\u5831, vol.121, no.345, SR2021-59, pp.7-10, 2022\u5e741\u6708\uff0e<\/li>\n
      61. \u30c1\u30e3\u30eb\u30fc\u30f3\u30b9\u30c3\u30af \u30d6\u30f3\u30d1\u30b7\u30c3\u30c8, \u5b89\u9054\u5b8f\u4e00<\/span>, “WSN\u306b\u304a\u3051\u308b\u60c5\u5831\u53ce\u96c6\u9045\u5ef6\u3092\u8003\u616e\u3057\u305f\u30d1\u30b1\u30c3\u30c8\u96c6\u7d04\u6cd5\u306e\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol.121, no.329, RCS2021-208, pp.69-74, 2022\u5e741\u6708.<\/li>\n
      62. \u5c0f\u6797\u62d3\u5f25, \u5b89\u9054\u5b8f\u4e00<\/span>, “Wireless Powered-MEC\u306b\u304a\u3051\u308b\u30aa\u30d5\u30ed\u30fc\u30c9\u78ba\u7387\u3068\u96fb\u529b\u4f1d\u9001\u6642\u9593\u5272\u5f53\u306e\u5171\u540c\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a>,” \u4fe1\u5b66\u6280\u5831, vol.121, no.329, RCS2021-207, pp.63-68, 2022\u5e741\u6708.<\/li>\n
      63. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “LPWAN\u306b\u304a\u3051\u308b\u5468\u671f\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u3092\u8003\u616e\u3057\u305f\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.121, no.302, RCS2021-195, pp.101-106, 2021\u5e7412\u6708.<\/li>\n
      64. \u9234\u6728\u5eb7\u4ecb, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u9069\u5fdc\u7684\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30de\u30c3\u30d4\u30f3\u30b0\u624b\u6cd5<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.121, no.302, RCS2021-176, pp.7-12, 2021\u5e7412\u6708.<\/li>\n
      65. \u9234\u6728\u5eb7\u4ecb, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u9069\u5fdc\u7684\u30d3\u30c3\u30c8\u30de\u30c3\u30d4\u30f3\u30b0\u624b\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u30bd\u5927, B-5-77, 2021\u5e749\u6708.<\/li>\n
      66. \u718a\u7530\u907c\u6c70, \u5b89\u9054\u5b8f\u4e00,<\/span> “UAV\u306b\u3088\u308b\u4f4d\u7f6e\u63a8\u5b9a\u53ca\u3073\u63a8\u5b9a\u4f4d\u7f6e\u306b\u57fa\u3065\u304f\u30a2\u30ec\u30a4\u30a2\u30f3\u30c6\u30ca\u306b\u3088\u308b\u5e72\u6e09\u4f4e\u6e1b\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u30bd\u5927, B-5-76, 2021\u5e749\u6708.<\/li>\n
      67. \u30c1\u30e3\u30eb\u30fc\u30f3\u30b9\u30c3\u30af \u30d6\u30f3\u30d1\u30b7\u30c3\u30c8, \u5b89\u9054\u5b8f\u4e00<\/u>, “\u5e72\u6e09\u5206\u5e03\u306b\u57fa\u3065\u304f\u4e8b\u524d\u7a7a\u304d\u5468\u6ce2\u6570\u5272\u308a\u5f53\u3066\u6cd5<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.121, no. 103, RCS2021-111, pp.63-68, 2021\u5e748\u6708.<\/li>\n
      68. \u5c0f\u6797\u62d3\u5f25, \u5b89\u9054\u5b8f\u4e00<\/u>, “Wireless Powered-MEC\u306b\u304a\u3051\u308b\u81ea\u5f8b\u5206\u6563\u7684\u306a\u30aa\u30d5\u30ed\u30fc\u30c9\u78ba\u7acb\u6c7a\u5b9a\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.121, no.103, RCS2021-110, pp.57-62, 2021\u5e748\u6708.<\/li>\n
      69. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “LoRaWAN\u306b\u304a\u3051\u308b\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u81ea\u5f8b\u5206\u6563\u578b\u30d1\u30b1\u30c3\u30c8\u9001\u4fe1\u5236\u5fa1\u6cd5<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.121, no.103, RCS2021-96, pp.92-97, 2021\u5e747\u6708.<\/li>\n
      70. \u974f\u898b\u5eb7\u5e73, \u856a\u6728\u78a7\u4ec1\uff0c\u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u30af\u30ed\u30c3\u30af\u30c9\u30ea\u30d5\u30c8\u306e\u63a8\u5b9a\u6cd5\u304a\u3088\u3073\u88dc\u511f\u6cd5<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol. 121, no. 103, RCS2021-87, pp. 48-54, 2021\u5e747\u6708.<\/li>\n
      71. \u6885\u6797\u5065\u592a, \u5ca9\u7530\u5927\u8f1d, \u4e2d\u689d\u5b8f\u90c1, \u5ddd\u5d0e\u8000, \u99ac\u5834\u5712\u52c7\u4f5c, \u516b\u5c0b\u7fa9\u7bc4, \u85e4\u4e95\u5a01\u751f, \u5b89\u9054\u5b8f\u4e00<\/span>, \u677e\u5cf6\u5927\u7a00, \u67f4\u7530\u7950\u8f14, \u4e95\u6df1\u548c\u96c4, \u677e\u6751\u6b66, \u5150\u5cf6\u53f2\u79c0, “[\u6280\u8853\u5c55\u793a] \u30b9\u30de\u30fc\u30c8\u30b9\u30da\u30af\u30c8\u30e9\u30e0\u306b\u57fa\u3065\u3044\u305f5G\u7121\u7dda\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b9f\u8a3c\u5b9f\u9a13,” \u4fe1\u5b66\u6280\u5831, vol.121, no.30, SR2021-18, pp.120-127, 2021\u5e745\u6708.<\/li>\n
      72. \u89d2\u7530\u771f\u4e00\u6717, \u5c71\u5d0e\u60a0\u5927, \u7247\u6850\u5553\u592a, \u85e4\u4e95\u5a01\u751f, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30b7\u30b9\u30c6\u30e0\u5185\u5916\u5e72\u6e09\u3092\u8003\u616e\u3057\u305fLoRaWAN\u5411\u3051\u30c1\u30e3\u30cd\u30eb\u5272\u5f53\u624b\u6cd5\u306e\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol.121, no.30, SR2021-12, pp.79-85, 2021\u5e745\u6708.<\/li>\n
      73. \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u65b9\u5f0f\u306b\u304a\u3051\u308b\u5e72\u6e09\u56de\u907f\u6cd5\u306e\u4e00\u691c\u8a0e,”\u00a0\u4fe1\u5b66\u7dcf\u5927, B-17-28, 2021\u5e743\u670812\u65e5.<\/li>\n
      74. \u5c0f\u6797\u5cb3, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30c1\u30e3\u30fc\u30d7\u5fa9\u8abf\u3092\u5229\u7528\u3057\u305f\u5e72\u6e09\u6e90\u306e\u5360\u6709\u7387\u63a8\u5b9a\u53ca\u3073\u5e72\u6e09\u30fb\u96d1\u97f3\u96fb\u529b\u63a8\u5b9a\u6cd5\u306e\u63d0\u6848,” \u4fe1\u5b66\u7dcf\u5927, B-17-27, 2021\u5e743\u670812\u65e5.<\/li>\n
      75. \u89d2\u7530\u771f\u4e00\u6717, \u5c71\u5d0e\u60a0\u5927, \u7247\u6850\u5553\u592a, \u85e4\u4e95\u5a01\u751f, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u5b89\u9054\u5b8f\u4e00,<\/span> “\u8907\u6570\u30c1\u30e3\u30cd\u30eb\u74b0\u5883\u4e0b\u306b\u304a\u3051\u308b\u5e72\u6e09\u96fb\u529b\u5206\u5e03\u3092\u7528\u3044\u305f LPWA\u5411\u3051\u30c1\u30e3\u30cd\u30eb\u9078\u629e\u624b\u6cd5\u306e\u691c\u8a0e,”\u00a0\u4fe1\u5b66\u7dcf\u5927, B-17-26, 2021\u5e743\u670812\u65e5.<\/li>\n
      76. \u856a\u6728\u78a7\u4ec1, \u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u8907\u6570\u5468\u6ce2\u6570\u30c1\u30e3\u30cd\u30eb\u3092\u8003\u616e\u3057\u305f\u81ea\u5f8b\u5206\u6563\u578b\u30d1\u30b1\u30c3\u30c8\u885d\u7a81\u56de\u907f\u6cd5<\/a> <\/i>,” \u4fe1\u5b66\u7dcf\u5927, B-5-137, 2021\u5e743\u670812\u65e5.<\/li>\n
      77. \u5b89\u9054\u5b8f\u4e00<\/u>,<\/span> \u974f\u898b\u5eb7\u5e73, \u856a\u6728\u78a7\u4ec1, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f\uff0c”\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u3092\u7528\u3044\u308bLoRaWAN\u306e\u5b9f\u88c5\u8a55\u4fa1<\/a> <\/i>,\u201d \u4fe1\u5b66\u7dcf\u5927, B-5-136, 2021\u5e743\u670812\u65e5.<\/li>\n
      78. \u974f\u898b\u5eb7\u5e73, \u856a\u6728\u78a7\u4ec1\uff0c\u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u306b\u304a\u3051\u308b\u30af\u30ed\u30c3\u30af\u30c9\u30ea\u30d5\u30c8\u88dc\u511f\u6cd5<\/a> <\/i>,” \u4fe1\u5b66\u7dcf\u5927, B-5-135, 2021\u5e743\u670812\u65e5.<\/li>\n
      79. \u718a\u7530\u907c\u6c70, \u5ddd\u4e0a\u7d14\u5e73, \u5b89\u9054\u5b8f\u4e00<\/u>, “LPWAN\u306b\u304a\u3051\u308bUAV\u30ea\u30ec\u30fc\u306e\u5c0e\u5165\u52b9\u679c\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u7dcf\u5927, B-5-134, 2021\u5e743\u670812\u65e5.<\/li>\n
      80. \u672c\u5e84\u5fb9\u54c9, \u5b89\u9054\u5b8f\u4e00<\/u>, \u5c71\u5c3e\u6cf0, “\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u7570\u5e38\u691c\u77e5\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u7dcf\u5927, B-15-19, 2021\u5e743\u67089\u65e5.<\/li>\n
      81. \u5ddd\u4e0a\u7d14\u5e73, \u5b89\u9054\u5b8f\u4e00<\/span>, “[\u30dd\u30b9\u30bf\u30fc\u8b1b\u6f14] \u30bb\u30eb\u30e9\u30fc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u30a2\u30ec\u30a4\u30a2\u30f3\u30c6\u30ca\u53ca\u3073CoMP\u9001\u4fe1\u306b\u3088\u308b\u5e72\u6e09\u8efd\u6e1b\u3092\u7528\u3044\u305fUAV\u914d\u7f6e\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.120, no.404, RCS2020-242, pp.175-176, 2021\u5e743\u6708.<\/li>\n
      82. \u9673\u6155\u7a4e, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u8907\u6570\u5468\u6ce2\u6570\u30c1\u30e3\u30cd\u30ebLoRaWAN\u306b\u304a\u3051\u308bACK\u4fe1\u53f7\u3092\u7528\u3044\u305f\u60c5\u5831\u9001\u4fe1\u30bf\u30a4\u30df\u30f3\u30b0\u306e\u5272\u5f53\u65b9\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.120, no.404, RCS2020-223, pp.100-105, 2021\u5e743\u6708.<\/li>\n
      83. \u658e\u85e4\u540f\u7396, \u5b89\u9054\u5b8f<\/span>\u4e00, “\u7570\u7a2e\u30bb\u30eb\u30e9\u30fc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u7121\u7dda\u304a\u3088\u3073\u8a08\u7b97\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u6cd5<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.120, no.404, RCS2020-210, pp.43-48, 2021\u5e743\u6708.<\/li>\n
      84. \u6e21\u90e8\u98af\u4eba, \u5c71\u5c3e\u6cf0, \u5b89\u9054\u5b8f\u4e00, “\u30df\u30b9\u30de\u30c3\u30c1\u30c9\u30d5\u30a3\u30eb\u30bf\u691c\u6ce2\u306b\u3088\u308bOFDM\u901a\u4fe1\u30fb\u30ec\u30fc\u30c0\u7d71\u5408\u30b7\u30b9\u30c6\u30e0\u306e\u8907\u6570\u30bf\u30fc\u30b2\u30c3\u30c8\u5206\u96e2\u6027\u80fd\u306e\u5411\u4e0a\u3068\u30c9\u30c3\u30d7\u30e9\u30fc\u30b7\u30d5\u30c8\u306e\u5f71\u97ff\u306e\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.120, no.371, SANE2020-62, pp.25-30, 2021\u5e742\u6708.<\/li>\n
      85. \u5bae\u672c\u76f4, \u7247\u6850\u5553\u592a, \u4f50\u85e4\u5149\u54c9, \u5b89\u9054\u5b8f\u4e00<\/span>, \u85e4\u4e95\u5a01\u751f, \u201c\u5468\u6ce2\u6570\u5171\u7528\u306e\u305f\u3081\u306e\u30a2\u30f3\u30c6\u30ca\u9ad8\u5dee\u304a\u3088\u3073\u652f\u914d\u7684\u30d1\u30b9\u3092\u8003\u616e\u3057\u305f\u30af\u30e9\u30c3\u30bf\u640d\u5931\u6539\u826f\u578b\u96fb\u6ce2\u4f1d\u642c\u63a8\u5b9a,\u201d \u4fe1\u5b66\u6280\u5831, vol.120, no.38, SR2020-39, pp.108-113, Nov. 2020.<\/li>\n
      86. \u590f\u76ee\u5eb7\u5e73, \u592a\u7530\u771f\u8863, \u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u85e4\u4e95\u5a01\u751f, “WSNs\u306b\u304a\u3051\u308b\u7a7a\u9593\u76f8\u95a2\u3092\u8003\u616e\u3057\u305fDCT\u5727\u7e2e\u624b\u6cd5,” \u4fe1\u5b66\u6280\u5831, vol.120, no.238, SR2020-30, pp.50-55, 2020\u5e7411\u6708.<\/li>\n
      87. \u5ddd\u4e0a\u7d14\u5e73, \u5b89\u9054\u5b8f\u4e00<\/span>, “\u30a2\u30ec\u30a4\u30a2\u30f3\u30c6\u30ca\u306b\u3088\u308b\u5e72\u6e09\u8efd\u6e1b\u53ca\u3073CoMP\u63a5\u7d9a\u306b\u3088\u308bUAV\u63a5\u7d9a\u6027\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u30bd\u5927, B-5-43, 2020\u5e749\u6708.<\/li>\n
      88. \u5c0f\u6797\u62d3\u5f25, \u5b89\u9054\u5b8f\u4e00<\/span>, “Wireless Powered MEC\u306b\u304a\u3051\u308b\u78ba\u7387\u7684\u30d0\u30a4\u30ca\u30ea\u30fc\u30aa\u30d5\u30ed\u30fc\u30c9\u53ca\u3073\u30e2\u30fc\u30c9\u5207\u66ff\u65b9\u5f0f\u306e\u8a55\u4fa1<\/a> <\/i>,” \u4fe1\u5b66\u30bd\u5927, B-5-66, 2020\u5e749\u6708.<\/li>\n
      89. \u856a\u6728\u78a7\u4ec1,\u00a0\u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u81ea\u5f8b\u5206\u6563\u578b\u30b9\u30ed\u30c3\u30c8\u5316\u30d1\u30b1\u30c3\u30c8\u9001\u4fe1\u30bf\u30a4\u30df\u30f3\u30b0\u306e\u4e00\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u30bd\u5927, B-5-74, 2020\u5e749\u6708.<\/li>\n
      90. \u974f\u898b\u5eb7\u5e73, \u856a\u6728\u78a7\u4ec1\uff0c\u5b89\u9054\u5b8f\u4e00<\/span>\uff0c\u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf\u4f1d\u9001\u3092\u7528\u3044\u305fLoRaWAN\u306e\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u30bd\u5927, B-5-75, 2020\u5e749\u6708.<\/li>\n
      91. \u6e21\u90e8\u98af\u4eba, \u5c71\u5c3e\u6cf0,\u00a0\u5b89\u9054\u5b8f\u4e00<\/span>, “\u30df\u30b9\u30de\u30c3\u30c1\u30c9\u30d5\u30a3\u30eb\u30bf\u53d7\u4fe1\u306b\u3088\u308bOFDM\u901a\u4fe1\u30fb\u30ec\u30fc\u30c0\u7d71\u5408\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3044\u3066\u30c9\u30c3\u30d7\u30e9\u30fc\u30b7\u30d5\u30c8\u304c\u30ec\u30fc\u30c0\u6027\u80fd\u306b\u4e0e\u3048\u308b\u5f71\u97ff<\/a>,” \u4fe1\u5b66\u30bd\u5927, B-2-16, 2020\u5e749\u6708.<\/li>\n
      92. \u590f\u76ee\u5eb7\u5e73, \u592a\u7530\u771f\u8863,\u00a0\u5b89\u9054\u5b8f\u4e00<\/span>, \u7530\u4e45\u4fee, \u85e4\u4e95\u5a01\u751f, “\u7a7a\u9593\u76f8\u95a2\u3092\u8003\u616e\u3057\u305f\u30ef\u30a4\u30e4\u30ec\u30b9\u30bb\u30f3\u30b5\u60c5\u5831DCT\u5727\u7e2e\u624b\u6cd5,” \u4fe1\u5b66\u30bd\u5927, B-15-28, 2020\u5e749\u6708.<\/li>\n
      93. \u5c0f\u6797\u5cb3, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/span>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30c1\u30e3\u30fc\u30d7\u5fa9\u8abf\u3092\u5229\u7528\u3057\u305f\u96d1\u97f3\u96fb\u529b\u304a\u3088\u3073\u5e72\u6e09\u96fb\u529b\u306e\u5206\u5e03\u63a8\u5b9a\u6cd5,” \u4fe1\u5b66\u30bd\u5927, B-17-4, 2020\u5e749\u6708\uff0e<\/li>\n
      94. \u9234\u6728\u5eb7\u4ecb, \u76f8\u539f\u76f4\u7d00,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, \u5c71\u5d0e\u609f\u53f2, “LoRaWAN\u306b\u304a\u3051\u308bACK\u4fe1\u53f7\u3092\u7528\u3044\u305f\u81ea\u5f8b\u5206\u6563\u7684\u306a\u5468\u6ce2\u6570\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u624b\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u6280\u5831,\u00a0vol.120,\u00a0no.74,\u00a0RCS2020-54,\u00a0pp.187-192, 2020\u5e746\u6708.<\/li>\n
      95. \u5c0f\u6797\u62d3\u5f25, \u5b89\u9054\u5b8f\u4e00<\/u>, “\u78ba\u7387\u7684\u30d0\u30a4\u30ca\u30ea\u30fc\u30aa\u30d5\u30ed\u30fc\u30c7\u30a3\u30f3\u30b0\u3092\u7528\u3044\u305fWireless Powered MEC\u306e\u7279\u6027\u8a55\u4fa1<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u6280\u5831,\u00a0vol.120,\u00a0no.74,\u00a0RCS2020-24,\u00a0pp.7-12, 2020\u5e746\u6708.\uff08RCS\u7814\u7a76\u4f1a\u521d\u3081\u3066\u306e\u7814\u7a76\u4f1a\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u512a\u79c0\u8cde\u53d7\u8cde<\/b>\uff09<\/li>\n
      96. \u856a\u6728\u78a7\u4ec1, \u76f8\u539f\u76f4\u7d00, \u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30bb\u30f3\u30b5\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u81ea\u5f8b\u5206\u6563\u7684\u9001\u4fe1\u30bf\u30a4\u30df\u30f3\u30b0\u5236\u5fa1\u6cd5<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u6280\u5831,\u00a0vol.120,\u00a0no.74,\u00a0RCS2020-23,\u00a0pp.1-6, 2020\u5e746\u6708.<\/li>\n
      97. \u4e09\u4e0a\u667a\u53f2,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, \u00a0“\u30e2\u30d0\u30a4\u30eb\u30a8\u30c3\u30b8\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u30e6\u30fc\u30b6\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u624b\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u7dcf\u5927, B-5-18, pp.306, 2020\u5e743\u6708.<\/li>\n
      98. \u856a\u6728\u78a7\u4ec1, \u76f8\u539f\u76f4\u7d00,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0\u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “IoT\u306b\u304a\u3051\u308b\u9001\u4fe1\u30bf\u30a4\u30df\u30f3\u30b0\u306e\u81ea\u5f8b\u5206\u6563\u7684\u5236\u5fa1\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u7dcf\u5927, B-5-121, pp. 409, 2020\u5e743\u6708.<\/li>\n
      99. \u76f8\u539f\u76f4\u7d00,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “LoRaWAN\u306b\u304a\u3051\u308b\u5916\u90e8\u5e72\u6e09\u691c\u77e5\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u5b66\u7fd2\u30d1\u30e9\u30e1\u30fc\u30bf\u518d\u521d\u671f\u5316<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u7dcf\u5927, B-5-122, pp.410, 2020\u5e743\u6708.<\/li>\n
      100. \u30c1\u30e3\u30eb\u30fc\u30f3\u30b9\u30c3\u30af\u30d6\u30f3\u30d1\u30b7\u30c3\u30c8,\u00a0\u76f8\u539f\u76f4\u7d00,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0“\u4ed6\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u5e72\u6e09\u3092\u8003\u616e\u3057\u305fLoRaWAN\u306e\u9001\u4fe1\u5236\u5fa1\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u7dcf\u5927,\u00a0B-5-167, pp.455, 2020\u5e743\u6708.<\/li>\n
      101. \u5c0f\u6797\u62d3\u5f25,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0“Wireless Powered Mobile Edge Computing\u306b\u304a\u3051\u308b\u78ba\u7387\u7684\u30d0\u30a4\u30ca\u30ea\u30fc\u30aa\u30d5\u30ed\u30fc\u30c9\u306e\u691c\u8a0e<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u7dcf\u5927,\u00a0B-5-168, pp.456, 2020\u5e743\u6708.<\/li>\n
      102. \u6b66\u85cf\u7f8e\u4fdd,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0“\u7a7a\u304d\u5468\u6ce2\u6570\u30ea\u30bd\u30fc\u30b9\u4e8b\u524d\u63a2\u77e5\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u7dcf\u5927,\u00a0B-17-9, pp.519, 2020\u5e743\u6708.<\/li>\n
      103. \u5c0f\u6797\u5cb3,\u00a0\u7530\u4e45\u4fee,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0\u592a\u7530\u771f\u8863,\u00a0\u85e4\u4e95\u5a01\u751f,\u00a0“\u30c1\u30e3\u30fc\u30d7\u5fa9\u8abf\u3092\u5229\u7528\u3057\u305f\u5e72\u6e09\u96fb\u529b\u63a8\u5b9a\u6cd5\u306e\u63d0\u6848,” \u4fe1\u5b66\u7dcf\u5927,\u00a0B-17-43,\u00a02020\u5e743\u6708.<\/li>\n
      104. \u76f8\u539f\u76f4\u7d00,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0\u7530\u4e45\u4fee,\u00a0\u592a\u7530\u771f\u8863,\u00a0\u85e4\u4e95\u5a01\u751f,\u00a0“LoRaWAN\u306b\u304a\u3051\u308b\u6559\u5e2b\u306a\u3057\u5916\u90e8\u5e72\u6e09\u691c\u51fa\u53ca\u3073\u7121\u7dda\u30ea\u30bd\u30fc\u30b9\u518d\u5272\u5f53\u3066\u624b\u6cd5<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u6280\u5831,\u00a0vol.119,\u00a0no.378,\u00a0RCS2019-275,\u00a0pp.57-62,\u00a02020\u5e741\u6708.<\/li>\n
      105. \u9ad8\u6a4b\u4e00\u6210,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0“\u30bb\u30eb\u30e9\u30fc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308bAffinity Propagation\u306b\u57fa\u3065\u304f\u57fa\u5730\u5c40\u52d5\u4f5c\u6c7a\u5b9a\u624b\u6cd5<\/a>,” \u4fe1\u5b66\u6280\u5831,\u00a0vol.119,\u00a0no.34,\u00a0RCS2019-240,\u00a0pp.19-24,\u00a02019\u5e7412\u6708.<\/li>\n
      106. \u76f8\u539f\u76f4\u7d00,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0\u7530\u4e45\u4fee,\u00a0\u592a\u7530\u771f\u8863,\u00a0\u85e4\u4e95\u5a01\u751f,\u00a0“[\u30dd\u30b9\u30bf\u30fc\u767a\u8868] LoRaWAN\u306b\u304a\u3051\u308b\u5f37\u5316\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5468\u6ce2\u6570\u30c1\u30e3\u30cd\u30eb\u5272\u308a\u5f53\u3066\u624b\u6cd5<\/a> <\/i>,”\u00a0\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8d85\u77e5\u6027\u30cd\u30c3\u30c8\u30ef\u30fc\u30ad\u30f3\u30b0\u306b\u95a2\u3059\u308b\u5206\u91ce\u6a2a\u65ad\u578b\u7814\u7a76\u4f1a\uff08RISING\uff09, 2019\u5e7411\u6708.<\/li>\n
      107. Hendrik Lumbantoruan and Koichi Adachi<\/u>,”[\u30dd\u30b9\u30bf\u30fc\u767a\u8868] Array Antenna for Power Saving of Sensor Nodes in UAV-BS Enabled WSN<\/a> <\/i>,”\u00a0\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8d85\u77e5\u6027\u30cd\u30c3\u30c8\u30ef\u30fc\u30ad\u30f3\u30b0\u306b\u95a2\u3059\u308b\u5206\u91ce\u6a2a\u65ad\u578b\u7814\u7a76\u4f1a\uff08RISING\uff09, 2019\u5e7411\u6708.<\/li>\n
      108. R. Sugimoto, Osamu Takyu, Koichi Adachi<\/u>, Mai Ohta, Takeo Fujii, \u201c[Poster Presentation] Evaluation of radio propagation characteristics with Various Antenna High for 920MHz frequency sharing,\u201d SmartCom 2019, New Jersey, USA, Nov. 2019.<\/li>\n
      109. Naoki Aihara,\u00a0Koichi Adachi<\/u>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “[Poster Presentation] Reinforcement Learning Aided Orthogonal Frequency Allocation in LoRaWAN<\/a>,” IEICE SmartCom 2019, New Jersey, USA, Nov. 2019.<\/li>\n
      110. M. Musashi and Koichi Adachi<\/u>, “[Poster Presentation] Spectrum Database Aided Prior Vacant Frequency Band Detection for Spectrum Sharing<\/a>,” IEICE SmartCom 2019, New Jersey, USA, Nov. 2019.<\/li>\n
      111. Hendrik Lumbantoruan and Koichi Adachi<\/u>, “Outage Probability Analysis of Sensor Nodes Served by Multi-antenna UAV-BS<\/a>“, \u4fe1\u5b66\u30bd\u5927,\u00a0B-5-55,\u00a02019\u5e749\u6708\uff0e<\/li>\n
      112. \u76f8\u539f\u76f4\u7d00,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0\u7530\u4e45\u4fee,\u00a0\u592a\u7530\u771f\u8863,\u00a0\u85e4\u4e95\u5a01\u751f,\u00a0“LoRaWAN\u306b\u304a\u3051\u308b\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2\u3092\u7528\u3044\u305f\u76f4\u4ea4\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u6cd5\u306b\u304a\u3051\u308b\u5831\u916c\u5024\u306e\u5f71\u97ff\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a>,”\u00a0\u4fe1\u5b66\u30bd\u5927,\u00a0B-5-80, pp.334, 2019\u5e749\u6708.<\/li>\n
      113. \u9ad8\u6a4b\u4e00\u6210,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “Affinity Propagation\u3092\u7528\u3044\u305f\u57fa\u5730\u5c40\u52d5\u4f5c\u6c7a\u5b9a\u306b\u95a2\u3059\u308b\u7814\u7a76<\/a>,” \u4fe1\u5b66\u30bd\u5927,\u00a0B-5-15,\u00a02019\u5e749\u6708.<\/li>\n
      114. \u5c71\u672c\u5065\u4e00\u90ce,\u00a0\u7530\u4e45\u4fee,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0\u85e4\u4e95\u5a01\u751f,\u00a0\u592a\u7530\u771f\u8863,\u00a0“\u30b9\u30da\u30af\u30c8\u30e9\u30e0\u30bb\u30f3\u30b7\u30f3\u30b0\u3068\u30d1\u30b1\u30c3\u30c8\u89e3\u6790\u3092\u4f75\u7528\u3057\u305fHMM\u306b\u3088\u308b\u7121\u7dda\u74b0\u5883\u306e\u63a8\u5b9a\u6cd5,” \u4fe1\u5b66\u6280\u5831,\u00a0SR2019-47,\u00a0vol.119,\u00a0no.109,\u00a0pp.149-150,\u00a02019\u5e747\u6708.<\/li>\n
      115. \u5ddd\u4e0a\u7d14\u5e73,\u00a0\u30eb\u30f3\u30d0\u30f3\u30c8\u30eb\u30a2\u30f3\u30d8\u30f3\u30c9\u30ea\u30c3\u30af,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “NOMA\u3092\u7528\u3044\u308bUAV\u30ea\u30ec\u30fc\u901a\u4fe1\u306b\u9069\u3057\u305f\u901a\u4fe1\u30d7\u30ed\u30c8\u30b3\u30eb\u306e\u691c\u8a0e<\/a> <\/i>,”\u00a0\u4fe1\u5b66\u6280\u5831,\u00a0RCS2019-59,\u00a0vol.119,\u00a0no.90,\u00a0pp.131-136,\u00a02019\u5e746\u6708.<\/li>\n
      116. \u9673\u6155\u7a4e,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “LoRaWAN\u306b\u304a\u3051\u308b\u8907\u6570GW\u53d7\u4fe1\u6642\u306e\u62e1\u6563\u7387\u9078\u629e\u6cd5\u306b\u95a2\u3059\u308b\u7814\u7a76<\/a>,”\u00a0\u4fe1\u5b66\u6280\u5831,\u00a0RCS2019-58,\u00a0vol.119,\u00a0no.90,\u00a0pp.125-130,\u00a02019\u5e746\u6708.<\/li>\n
      117. \u658e\u85e4\u540f\u7396,\u00a0\u9ad8\u6a4b\u4e00\u6210,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “\u96fb\u529b\u9818\u57df\u306b\u304a\u3051\u308b\u975e\u76f4\u4ea4\u591a\u5143\u63a5\u7d9a\u3092\u8003\u616e\u3057\u305f\u57fa\u5730\u5c40\u30b9\u30ea\u30fc\u30d7\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u95a2\u3059\u308b\u7814\u7a76<\/a>,” \u4fe1\u5b66\u6280\u5831,\u00a0RCS2019-57,\u00a0vol.119,\u00a0no.90,\u00a0pp.119-124,\u00a02019\u5e746\u6708.\uff08RCS\u7814\u7a76\u4f1a\u521d\u3081\u3066\u306e\u7814\u7a76\u4f1a\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u6700\u512a\u79c0\u8cde\u53d7\u8cde<\/b>\uff09<\/li>\n
      118. \u5c71\u5d0e\u60a0\u5927,\u00a0\u85e4\u4e95\u5a01\u751f,\u00a0\u7530\u4e45\u4fee,\u00a0\u592a\u7530\u771f\u8863,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “\u30b9\u30da\u30af\u30c8\u30e9\u30e0\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u6d3b\u7528\u3057\u305fLPWA\u5411\u3051\u5468\u6ce2\u6570\u5171\u7528\u624b\u6cd5\u306e\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831,\u00a0SR2019-10,\u00a0vol.119,\u00a0no.62,\u00a0pp.63-68,\u00a02019\u5e745\u6708.<\/li>\n
      119. Lumbantoruan, Koichi Adachi<\/u>, T. Z. Hui Ernest, R. P. Sirigina, and A. S. Madhukumar, “Outage Probability Analysis of Sensor Nodes by an ULA Equipped UAV-BS,” \u4fe1\u5b66\u7dcf\u5927,\u00a0B-5-25,\u00a02019\u5e743\u6708.<\/li>\n
      120. \u76f8\u539f\u76f4\u7d00, \u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u57fa\u3065\u304fQ\u5b66\u7fd2\u3092\u7528\u3044\u305f\u7121\u7dda\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u624b\u6cd5<\/a>,” \u4fe1\u5b66\u6280\u5831, vol.118, no.435, RCS2018-261, pp.109-114, 2019\u5e741\u6708.\uff08RCS\u7814\u7a76\u4f1a\u521d\u5e74\u5ea6\u767a\u8868\u8005\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u512a\u79c0\u8cde\u53d7\u8cde<\/b>\uff09<\/li>\n
      121. Naoki Aihara, Koichi Adachi<\/u>, Osamu Takyu, Mai Ohta, and Takeo Fujii, “[Poster Presentation] SVM Based Orthogonal Resource Allocation in CSMA\/CA<\/a> <\/i>,” IEICE SmartCom 2018, Bangkok, Thailand, Oct. 2018.<\/li>\n
      122. R. Kobayashi and Koichi Adachi<\/u>, “[Poster Presentation] Computational Capability and Radio Resource Allocation for Mobile Edge Computing<\/a> <\/i>,” IEICE SmartCom 2018, Bangkok, Thailand, Oct. 2018.<\/li>\n
      123. \u5b89\u9054\u5b8f\u4e00<\/u>\uff0c\u7530\u4e45\u4fee\uff0c\u592a\u7530\u771f\u8863\uff0c\u85e4\u4e95\u5a01\u751f\uff0c”\u62e1\u5f35\u7121\u7dda\u74b0\u5883\u5b66\u7fd2\u3092\u7528\u3044\u305f\u7121\u7dda\u8cc7\u6e90\u5272\u308a\u5f53\u3066\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u30bd\u5927,\u00a0BP-2-4,\u00a02018\u5e749\u6708.<\/li>\n
      124. \u5c0f\u6797\u9f8d\u53f8, \u00a0\u5b89\u9054\u5b8f\u4e00<\/u>,\u00a0“\u30c7\u30e5\u30fc\u30d7\u30ec\u30c3\u30af\u30b9\u65b9\u5f0f\u304c MEC \u30b7\u30b9\u30c6\u30e0\u306e\u7dcf\u51e6\u7406\u6642\u9593\u306b\u4e0e\u3048\u308b\u5f71\u97ff<\/a> <\/i>,” \u4fe1\u5b66\u30bd\u5927,\u00a0B-5-98,\u00a02018\u5e749\u6708.<\/li>\n
      125. Hendrik Lumbantoruan,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “ UAV-BS\u7121\u7dda\u901a\u4fe1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u7121\u7dda\u7aef\u672b\u306e\u7701\u96fb\u529b\u5316\u306b\u95a2\u3059\u308b\u7814\u7a76<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.118, no.125, pp.199-204, 2018\u5e747\u6708.<\/li>\n
      126. \u5c0f\u6797\u9f8d\u53f8,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “\u30c7\u30fc\u30bf\u51e6\u7406\u6642\u9593\u6700\u5c0f\u5316\u3092\u76ee\u7684\u3068\u3057\u305fMEC & UE\u306e\u8a08\u7b97\u80fd\u529b\u304a\u3088\u3073\u7121\u7dda\u30c1\u30e3\u30cd\u30eb\u72b6\u614b\u306b\u57fa\u3065\u304f\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u6cd5\u306e\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.118, no.125, pp.189-194, 2018\u5e747\u6708.<\/li>\n
      127. \u9ad8\u6a4b\u4e00\u6210,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “\u57fa\u5730\u5c40\u30b9\u30ea\u30fc\u30d7\u306b\u3088\u308b\u7121\u7dda\u7aef\u672b\u306e\u4e0a\u308a\u30ea\u30f3\u30af\u30a8\u30cd\u30eb\u30ae\u30fc\u6d88\u8cbb\u91cf\u3078\u306e\u5f71\u97ff\u306e\u8a55\u4fa1<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.118, no.101, pp.7-12, 2018\u5e746\u6708.<\/li>\n
      128. \u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\uff3b\u4f9d\u983c\u8b1b\u6f14\uff3d\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u308b\u7121\u7dda\u8cc7\u6e90\u5272\u5f53\u6cd5\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.118, no.58, SR2018-8, pp.49-49, 2018\u5e745\u6708.<\/li>\n
      129. \u795e\u6238\u5bdb\u5178, \u7530\u4e45\u4fee, \u5b89\u9054\u5b8f\u4e00<\/u>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, \u7b39\u68ee\u6587\u4ec1, \u534a\u7530\u5fd7\u90ce, “\u5468\u6ce2\u6570\u5171\u6709\u306b\u5411\u3051\u305f\u7121\u7ddaLAN\u30b7\u30b9\u30c6\u30e0\u306e\u5e72\u6e09\u8010\u6027\u8a55\u4fa1\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,” \u4fe1\u5b66\u6280\u5831, vol.118, no.58, SR2018-3, pp.13-19, 2018\u5e745\u6708.<\/li>\n
      130. \u76f8\u539f\u76f4\u7d00, \u5b89\u9054\u5b8f\u4e00<\/u>, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u308b\u7121\u7dda\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u6cd5\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e<\/a> <\/i>,” \u4fe1\u5b66\u6280\u5831, vol.118, no.12, RCS2018-21, pp.109-114, 2018\u5e744\u6708.<\/li>\n
      131. Hendrik Lumbantoruan, \u5b89\u9054\u5b8f\u4e00<\/u>, “\u56de\u8ee2\u89d2\u5206\u5272\u591a\u5143\u63a5\u7d9a\u3092\u7528\u3044\u308bUAV-BS \u7121\u7dda\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/a> <\/i>,” \u4fe1\u5b66\u7dcf\u5927, B-5-126, 2018\u5e743\u6708.<\/li>\n
      132. \u9ad8\u6a4b\u4e00\u6210,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “\u57fa\u5730\u5c40\u30b9\u30ea\u30fc\u30d7\u6280\u8853\u304c\u7aef\u672b\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u6d88\u8cbb\u91cf\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306e\u8a55\u4fa1<\/a> <\/i>,” \u4fe1\u5b66\u7dcf\u5927, B-5-52, 2018\u5e743\u6708.<\/li>\n
      133. \u76f8\u539f\u76f4\u7d00,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, “CSMA\/CA \u306b\u304a\u3051\u308b\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u7121\u7dda\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u624b\u6cd5<\/a> <\/i>,” \u4fe1\u5b66\u7dcf\u5927, B-5-51, 2018\u5e743\u6708.<\/li>\n
      134. \u795e\u6238\u5bdb\u5178, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, \u85e4\u4e95\u5a01\u751f, \u7b39\u68ee\u6587\u4ec1, \u534a\u7530\u5fd7\u90ce, “\u7121\u7dda\u6a5f\u306e\u30b7\u30b9\u30c6\u30e0\u9593\u5e72\u6e09\u8010\u6027\u80fd\u529b\u306e\u660e\u78ba\u5316\u3068\u8b58\u5225\u65b9\u6cd5,” \u4fe1\u5b66\u7dcf\u5927, B-17-21, 2018\u5e743\u6708.<\/li>\n
      135. \u592a\u7530\u6607\u543e, \u7530\u4e45\u4fee, \u592a\u7530\u771f\u8863,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, \u85e4\u4e95\u5a01\u751f, \u7b39\u68ee\u6587\u4ec1, \u534a\u7530\u5fd7\u90ce, “LPWA\u901a\u4fe1\u306b\u304a\u3051\u308b\u7570\u7a2e\u7121\u7dda\u30b7\u30b9\u30c6\u30e0\u306e\u5468\u6ce2\u6570\u5171\u7528\u306b\u304a\u3051\u308b\u5e72\u6e09\u8010\u6027\u80fd\u529b\u306e\u8a55\u4fa1,” \u4fe1\u5b66\u7dcf\u5927, B-17-19, 2018\u5e743\u6708.<\/li>\n
      136. \u7530\u4e45\u4fee,\u00a0\u5b89\u9054\u5b8f\u4e00<\/u>, \u592a\u7530\u771f\u8863, \u85e4\u4e95\u5a01\u751f, “LPWA\u306b\u304a\u3051\u308b\u5468\u6ce2\u6570\u5171\u7528\u3092\u4fc3\u9032\u3059\u308b\u62e1\u5f35\u7121\u7dda\u74b0\u5883\u5b66\u7fd2,” \u4fe1\u5b66\u6280\u5831, vol.117, no.457, SR2017-130, pp.89-94, 2018\u5e742\u6708.<\/li>\n<\/ol>\n

        \u00a0Other<\/h3>\n
          \n
        1. \u5b89\u9054\u5b8f\u4e00<\/span>, “LPWAN\u306e\u4f1d\u9001\u901f\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306e\u30d1\u30b1\u30c3\u30c8\u578b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u8abf,” JST\u65b0\u6280\u8853\u8aac\u660e\u4f1a, 2021\u5e745\u670813\u65e5.<\/li>\n<\/ol>\n

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          \u00a0Journal Hiroto Shida, .Aoto Kaburaki, and Koichi Adachi, “Timing and Synchronization Control for Energy […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":39,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/pages\/554"}],"collection":[{"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/comments?post=554"}],"version-history":[{"count":170,"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/pages\/554\/revisions"}],"predecessor-version":[{"id":1742,"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/pages\/554\/revisions\/1742"}],"up":[{"embeddable":true,"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/pages\/39"}],"wp:attachment":[{"href":"http:\/\/www.awcc.uec.ac.jp\/adachilab\/wp-json\/wp\/v2\/media?parent=554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}