講演概要： In this talk, we will present some recent results on the reconfigurable intelligent surfaces (RIS) wireless network empowered by AI, in particular a deep-learning-based hybrid beamforming for RIS-empowered multi-hop teraherz communications, AI-assisted MAC, and intelligent spectrum learning with RIS. Such AI-based solution is particular of important when the network involves multiple users, as the signals impinging upon an RIS can be contaminated by interfering signals which are usually dynamic and unknown. To address this issue, ‘learning’ the properties of the surrounding spectral environment is a promising solution. Motivated by the convergence of artificial intelligence and spectrum sensing, we termed here as spectrum learning, where the RIS controller becomes capable of intelligently ‘think-and-decide’ whether to reflect or not the incident signals.
講師略歴： Dr Chau Yuen (S02-M06-SM12-F21) received the BEng and PhD degree from Nanyang Technological University (NTU), Singapore, in 2000 and 2004 respectively. He was a Post-Doctoral Fellow with Lucent Technologies Bell Labs at Murray Hill in 2005, and a Visiting Assistant Professor with The Hong Kong Polytechnic University in 2008. From 2006 to 2010, he was with the Institute for Infocomm Research (I2R), Singapore, where he was involved in an industrial project on developing an 802.11n Wireless LAN system, and participated actively in 3Gpp Long Term Evolution (LTE) and LTE‐Advanced (LTE‐A) standardization. Since 2010, he has been with the Singapore University of Technology and Design.
Dr Yuen was a recipient of Lee Kuan Yew Gold Medal, Institution of Electrical Engineers Book Prize, Institute of Engineering of Singapore Gold Medal, Merck Sharp & Dohme Gold Medal and twice the recipient of Hewlett Packard Prize. He received the IEEE Marconi Prize Paper Award in Wireless Communications and EURASIP Best Paper Award for JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING on 2021, IEEE Asia Pacific Outstanding Young Researcher Award on 2012, and IEEE VTS Singapore Chapter Outstanding Service Award on 2019.
Dr Yuen serves as an Editor for IEEE TRANSACTIONS ON COMMUNICATIONS and IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, awarded as Top Editor from 2009 – 2015. He also served as the guest editor for several special issues, including IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, IEEE WIRELESS COMMUNICATIONS MAGAZINE, IEEE COMMUNICATIONS MAGAZINE, IEEE VEHICULAR TECHNOLOGY MAGAZINE, IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, and ELSEVIER APPLIED ENERGY.
Dr Yuen is currently an IEEE Fellow and Distinguished Lecturer of IEEE Vehicular Technology Society. He has 3 US patents and published over 500 research papers at international journals or conferences.
IMT-Atlantic, Brest, Invited Professor,
MATHEMATICAL AND ELECTRICAL ENGINEERING, COMIN Labs IoTAD-CEO Project Chair
Professor Emeritus of JAIST, Japan, and
University of Oulu, Finland
Recent Results in Advanced Wireless
Network Information Theory is an extension
of Shannon’s Information Theory to Networks.
We have thought that the key to the successful development of new mobile
wireless communications system concept should be to utilize the latest results
of Network Information Theory in the most suitable forms, which satisfy network
objectives and requirements in efficient way.
Also, identifying the theoretical performance limit is of most crucial
importance. Under such significant and ambitious goals and objectives, he has
worked for almost 40 years including experiences in the industry (NTT/NTT
DoCoMo), Center for Wireless Communications (University of Oulu, Finland), and
JAIST. Recently, he has been intensively
researching how Lossy Distributed Multi-terminal Source Coding Theory, with the
aim of how the theoretical framework should be modified so that it can be
best-suited to mobile wireless cooperative communications systems having
massive wireless devices. He also has
considered how Network Information Theory should be understood in the design of
wireless mesh networks, relay communications, sensor networks, Internet-of-Things
(IoT) and Vehicle-to-Things (V2X) networks.
His challenge has included theoretical limit analysis, algorithm design,
and verification by simulations.
The reason for the pursuance towards the
goals described above is that in IoT, V2X, and Edge computing, the lossless
recovery of information observed by the sensing devices should not necessarily
be End-to-End Lossless. In other words,
the purpose of IoT network is NOT the full recovery of observations, but to
make correct decisions based on the observations made by massive sensing
devices which are assumed to be distributed around the target, and hence the
corrected information is correlated. By
utilizing the source correlation knowledge at the receiver, Ultra Reliable Low
Latency Communication (URLLC) is possible, even though packet-wise transmission
In the Seminar, also the recent results of
his research group are introduced, which covers performance analysis of
Lossless/Lossy Multi-source transmission over fading Multiple Access Channels,
such as Wyner Ziv systems over fading MAC.
At the final stage, his future view of the
research trends, one of which, he thinks, is towards creation of the
theoretical framework for Distributed Hypothesis Testing, will be briefly
TAD MATSUMOTO (S’84, M’98, F’10) received his B.S.
and M.S. degrees in electrical engineering, and his Ph.D. degree in electrical
engineering, all from Keio University, Yokohama, Japan, in 1978, 1980, and
1991, respectively. He joined Nippon
Telegraph and Telephone Corporation (NTT), in 1980, where he was involved in a
lot of research and development projects mobile wireless communications
systems. In 1992, he transferred to NTT DoCoMo, where he researched on
code-division multiple-access techniques for mobile communication systems. In
1994, he transferred to NTT America, where he served as a Senior Technical
Advisor of a joint project between NTT and NEXTEL Communications. In 1996, he
returned to NTT DoCoMo, where he served as the Head of the Radio Signal
Processing Laboratory, until 2001. He researched on adaptive signal processing,
multiple-input multiple-output turbo signal detection, interference
cancellation, and space-time coding techniques for broadband mobile
communications. In 2002, he moved to the University of Oulu, Finland, where he served
as a Professor at Centre for Wireless Communications. In 2006, he has served as
a Visiting Professor with the Ilmenau University of Technology, Ilmenau,
Germany, supported by the German MERCATOR Visiting Professorship Program. Since 2007, he has been serving as a
Professor with the Japan Advanced Institute of Science and Technology (JAIST),
Japan, while also keeping a cross-appointment position with the University of
Oulu. After his retirement from JAIST,
he moved to IMT-Atlantic, France, where he is serving as an invited
professor. He is also Professor Emeritus
of JAIST and University of Oulu.
Prof. Matsumoto is a member of the IEICE.
He has led a lot of projects supported by the Academy of Finland, European FP7,
and the Japan Society for the Promotion of Science and Japanese private
companies. He has been appointed as a Finland Distinguished Professor, from
2008 to 2012, supported by Finnish National Technology Agency (Tekes) and
Finnish Academy, under which he preserves the rights to participate in and
apply for European and Finnish National Projects. He was a recipient of IEEE
VTS Outstanding Service Award, in 2001, Nokia Foundation Visiting Fellow
Scholarship Award, in 2002, IEEE Japan Council Award for Distinguished Service
to the Society, in 2006, the IEEE Vehicular Technology Society James R. Evans
Avant Garde Award, in 2006, Thuringen State Research Award for Advanced Applied
Science, in 2006, the 2007 Best Paper Award of the Institute of Electrical,
Communication, and Information Engineers of Japan, in 2008, Telecom System
Technology Award from the Telecommunications Advancement Foundation, in 2009,
IEEE Communication Letters Exemplary Reviewer, in 2011, Nikkei Wireless Japan
Award, in 2013, IEEE VTS Recognition for Outstanding Distinguished Lecturer, in
2016, and IEEE TRANSACTIONSON COMMUNICATIONS Exemplary Reviewer, in 2018. He
has been serving as an IEEE Vehicular Technology Distinguished Speaker, since