【IEEE ComSoc Kansai Chapter】ネットワーク情報理論に関する技術講演会（8/21）開催のご案内
Osaka Metropolitan University
IEEE Communications Society Kansai Chapter
Technical Seminar 2025
Title: Surprises in Network Information Theory
Speaker: Prof. Wei Yu, University of Toronto, Canada (IEEE Fellow, CAE Fellow)
Date: 5PM-6:30PM, Thursday, 21 August 2025
Location: Room C1, I-site Namba, Osaka Metropolitan University
https://www.omu.ac.jp/isite/access/
Abstract: Information theory aims to characterize the fundamental limits of compressing, representation, and transmission of information in communication networks. For instance, to identify one of N distinct objects, log(N) bits of information are needed. Moreover, the maximum rate of information transmission through a noisy channel is approximately the logarithm of the signal-to-noise ratio. In this talk, we explore several unusual scenarios where information theoretical analyses yield surprising results. We ask the following questions: 1) Is it possible to transmit information through a noisy channel at a strictly positive rate using only infinitesimal amount of transmit power? 2) For transmitting independent messages to a subset of K active devices among a large pool of N devices, is it possible to avoid using an address field of size log(N) bits to identify the intended recipient of each message? The answers to both questions are surprisingly, yes! We discuss the implications of these results to cooperative communications and to massive random access in wireless networking.
Bio: Professor Wei Yu received the B.A.Sc. degree in computer engineering and mathematics from the University of Waterloo, Canada, and the M.S. and Ph.D. degrees in electrical engineering from Stanford University, U.S.A. He is a Professor and Canada Research Chair in Information Theory and Wireless Communications in the Electrical and Computer Engineering Department at the University of Toronto in Canada. Prof. Wei Yu is a Fellow of IEEE and a Fellow of the Canadian Academy of Engineering. He was the recipient of the IEEE Marconi Prize Paper Award in Wireless Communications in 2019, the IEEE Communications Society Award for Advances in Communication in 2019, the IEEE Signal Processing Society Best Paper Award in 2008, 2017, and 2021, the IEEE Communications Society and Information Theory Society Joint Paper Award in 2024, and the R. A. Fessenden Award from IEEE Canada in 2024. Prof. Wei Yu is a Clarivate Highly Cited Researcher. He served as the President of the IEEE Information Theory Society in 2021.
Host: Hai Lin, Osaka Metropolitan University
For any inquiries, please contact lin@omu.ac.jp
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- Shikitsuhigashi, 2 Chome−1−41
- Naniwa Ward
- Osaka, Osaka
- Japan 556-0012
- Building: I-site Namba
- Room Number: C1
- Click here for Map
- Starts 04 August 2025 07:30 AM UTC
- Ends 21 August 2025 08:00 AM UTC
- No Admission Charge
Speakers
Wei Yu
Surprises in Network Information Theory
Information theory aims to characterize the fundamental limits of compressing, representation, and transmission of information in communication networks. For instance, to identify one of N distinct objects, log(N) bits of information are needed. Moreover, the maximum rate of information transmission through a noisy channel is approximately the logarithm of the signal-to-noise ratio. In this talk, we explore several unusual scenarios where information theoretical analyses yield surprising results. We ask the following questions: 1) Is it possible to transmit information through a noisy channel at a strictly positive rate using only infinitesimal amount of transmit power? 2) For transmitting independent messages to a subset of K active devices among a large pool of N devices, is it possible to avoid using an address field of size log(N) bits to identify the intended recipient of each message? The answers to both questions are surprisingly, yes! We discuss the implications of these results to cooperative communications and to massive random access in wireless networking.
Biography:
Professor Wei Yu received the B.A.Sc. degree in computer engineering and mathematics from the University of Waterloo, Canada, and the M.S. and Ph.D. degrees in electrical engineering from Stanford University, U.S.A. He is a Professor and Canada Research Chair in Information Theory and Wireless Communications in the Electrical and Computer Engineering Department at the University of Toronto in Canada. Prof. Wei Yu is a Fellow of IEEE and a Fellow of the Canadian Academy of Engineering. He was the recipient of the IEEE Marconi Prize Paper Award in Wireless Communications in 2019, the IEEE Communications Society Award for Advances in Communication in 2019, the IEEE Signal Processing Society Best Paper Award in 2008, 2017, and 2021, the IEEE Communications Society and Information Theory Society Joint Paper Award in 2024, and the R. A. Fessenden Award from IEEE Canada in 2024. Prof. Wei Yu is a Clarivate Highly Cited Researcher. He served as the President of the IEEE Information Theory Society in 2021.
Email:
Address:Toronto, Ontario, Canada