Full Program

Program at a Glance

23th, Nov. (Mon)

24th, Nov. (Tue)

(*) The Banquet will be held in Room 402 (A, B, C, D) from 19:00 to 21:00. The Award Ceremony will take place during the Banquet.

25th, Nov. (Wed)

Keynote Speakers

Keynote Session 1: November 23 (Mon), 09:00–09:45, Room 401
Li-Chun Wang
Dean, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University (NYCU), Taiwan

Title: Agentic AI in 6G: What? Why? and How?

Abstract: As sixth-generation (6G) wireless networks evolve toward pervasive sensing, global coverage, and extreme automation, traditional rule-based mechanisms and passive machine learning models can no longer cope with hyper-low latency demands and highly dynamic environments. This talk explores the paradigm shift at the convergence of wireless communications and artificial intelligence: how Agentic AI—AI systems endowed with autonomous planning, reasoning, and execution capabilities—will reshape the architecture of 6G networks.

Biography: Li-Chun Wang (M'96-SM'06-F'11) received his Ph.D. degree from the Georgia Institute of Technology in 1996. From 1996 to 2000, he served as a Senior Researcher at the Wireless Communications Research Institute at AT&T Labs. He is currently the Dean of the College of Electrical Engineering, a Lifetime Chair Professor in the Department of Electrical Engineering at National Yang Ming Chiao Tung University (NYCU), and the Chair of the IEEE Taipei Section. Dr. Wang was elected as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2011 for his contributions to the design of cellular architectures and wireless resource management in wireless networks.

Dr. Wang has received numerous awards and honors, including the Distinguished Research Awards from National Science and Technology Council twice (2012 and 2018), the Future Tech Award from the National Science and Technology Council (2021), the Chinese Institute of Engineers (CIE) Outstanding Electrical Engineering Professor Award (2022), the Outstanding Engineering Professor Award from the Chinese Institute of Electrical Engineering (2009), the K.T. Li Fellow Award (2021) and the Medal of Honor (2024) from the Institute of Information & Computing Machinery (iICM), the Outstanding ICT Elite Award (2020), the Y. Z. Hsu Scientific Paper Award (2013), the Y. Z. Hsu Scientific Chair Professor (2023), the Chinese Institute of Engineers (CIE) Fellow (2025), Pan Wen Yuan Foundation Outstanding Research Award (2025), the Chinese Institute of Engineers (CIE) Engineering Medal (2025), and the Chinese Institute of Electrical Engineering (CIEE) Medal of Electrical Engineering (2025).

Dr. Wang has made significant contributions to the research fields of wireless communication and information technology. He has served as an IEEE Tutorial Speaker multiple times, promoting international cooperation and talent cultivation. According to Google Scholar, Dr. Wang's research works have been cited over 11,544 times with an h-index of 54. He was listed in the "Annual Global Top 2% Scientists" and "Lifetime Scientific Impact Rankings" by Stanford University for five consecutive years (2020–2024). He is also ranked as a top Taiwanese international scholar in the field of computer science by the Guide2 Research website.

Dr. Wang serves as the Director of the Chunghwa Telecom-NYCU Innovation Research Center and the NYCU-IBM iIoT Research Center. He has collaborated with numerous domestic and international companies and holds 49 domestic and international patents, sixteen of which have been applied in commercial products. He is currently an Associate Editor of the IEEE Transactions on Wireless Communications and the IEEE Internet of Things Journal. His recent research interests lie in data-driven intelligent wireless communications, brain technology, and sustainable development. He has published over 300 journal and conference papers and co-edited the books "Key Technologies for 5G Wireless Communications" (Cambridge University Press, 2017) and "Green Energy Driven Integrated Smart Grid and Wireless Networks" (Springer Nature, 2026). (https://wang.web.nycu.edu.tw)

Keynote Session 1: November 23 (Mon), 09:45–10:30, Room 401
Inkyu Lee
Professor, School of Electrical Engineering, Korea University

Title: Meta-Optimization for Constrained Black-Box Network Management

Abstract: Next-generation networks will operate in complex and unforeseen environments for which system models and datasets are not available in advance, and thus network management tasks must be posed as black-box optimization (BBO) problems. Evolutionary algorithms (EAs) have proven effective for such tasks, whereas their performance critically hinges on the algorithm configuration (AC), which is conventionally tuned offline at a high cost of function evaluations. This talk introduces a new meta-optimization (MO), which optimizes the AC of a backbone EA at the meta level. In our architecture, a large language model (LLM) serves as a meta-optimizer agent that maintains the context of the ongoing EA procedure. Such context-aware reasoning requires neither task-specific training nor an analytical model of the target task, leading to a training-free and task-agnostic meta-optimizer for black-box network management. Our framework is further extended to constrained tasks through a Lagrangian minimax reformulation, which collaboratively evolves primal and dual variables under the supervision of the MO. Numerical results on diverse network management applications confirm that the proposed MO outperforms conventional meta-optimization schemes and existing LLM-based methods.

Biography: Inkyu Lee received the B.S. degree (Hons.) in control and instrumentation engineering from Seoul National University, Seoul, South Korea, in 1990, and the M.S. and Ph.D. degrees in electrical engineering from Stanford University, Stanford, CA, USA, in 1992 and 1995, respectively. From 1995 to 2002, he was a Member of the Technical Staff with Bell Laboratories, Lucent Technologies, Murray Hill, NJ, USA, where he studied high-speed wireless system designs. Since 2002, he has been with Korea University, Seoul, where he is currently a Professor with the School of Electrical Engineering. He was also the Department Head of the School of Electrical Engineering, Korea University, from 2019 to 2021. In 2009, he was a Visiting Professor with the University of Southern California, Los Angeles, CA, USA. He has authored or coauthored more than 250 journal articles in IEEE publications and holds 30 U.S. patents granted or pending. His research interests include digital communications and signal processing techniques applied for next-generation wireless systems. He was elected as a member of the National Academy of Engineering of Korea in 2015. He is the Director of “Augmented Cognition Meta-Communication” ERC Research Center awarded from the National Research Foundation of Korea. He was a recipient of the Best Research Award from Korean Institute of Communications and Information Sciences in 2011, the Best Young Engineer Award from the National Academy of Engineering of Korea in 2013, Korea Engineering Award from the National Research Foundation of Korea in 2017 and the best research award from National Academy of Sciences in 2026. He served as an Associate Editor for IEEE TRANSACTIONS ON COMMUNICATIONS from 2001 to 2011 and IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS from 2007 to 2011. He was a Chief Guest Editor of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS Special Issue on “4G Wireless Systems” in 2006. He also served as the Editor-in-Chief for the Journal of Communications and Networks from 2019 to 2025. He is currently serving as a senior Editor for IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. He is the president of Korean Institute of Communications and Information Sciences (KICS). He is a Fellow and a Distinguished Lecturer of IEEE.

Keynote Session 2: November 24 (Tue), 09:00–09:45, Room 401
Akihiro Nakao
Professor, School of Engineering, The University of Tokyo / President, IEICE

Title: AI-Native 6G: Closing the Loop Across RAN, Core, Cloud, and Space

Abstract: AI-native 6G represents a fundamental architectural transformation in which AI is embedded throughout communication, computing, data processing, sensing, and control to form an adaptive and verifiable closed-loop system. This keynote discusses how O-RAN provides open interfaces and programmable control mechanisms, while AI-RAN integrates radio access network functions with distributed AI workloads and accelerated computing infrastructure. It also examines how non-terrestrial networks can be coordinated with terrestrial networks to provide resilient, ubiquitous, and context-aware connectivity. The talk further presents learning-based resource optimization in O-RAN, AI-RAN platforms, network digital twins, integrated terrestrial–satellite networking, and LLM-assisted closed-loop control of mobile network infrastructure.

Biography: Akihiro Nakao received his B.S. (1991) in Physics and M.E. (1994) in Information Engineering from the University of Tokyo. After working at IBM in the United States and IBM Tokyo Research Laboratory, he received his M.S. and Ph.D. in Computer Science from Princeton University. In 2005, he was appointed Associate Professor, and in February 2014, Professor of Applied Computer Science at the Interfaculty Initiative in Information Studies, Graduate School of Interdisciplinary Information Studies, the University of Tokyo. In 2016, he was appointed Chair of the Department of Interdisciplinary Information Studies, Interfaculty Initiative in Information Studies, Graduate School of Interdisciplinary Information Studies, the University of Tokyo. In 2019, he served as Vice Dean of Interfaculty Initiative in Information Studies and Adviser to the President, the University of Tokyo. Since 2020, he has served as Special Adviser to the President of the University of Tokyo (–present). In April 2021, he moved to the School of Engineering, the University of Tokyo as a Professor, where he has since served as Director of the Collaborative Research Institute for Next Generation Cyber Infrastructure (NGCI) (–present). In 2024, he was appointed President of The Institute of Electronics, Information and Communication Engineers (IEICE). In the same year, he was also appointed Co-Chair of the XG Mobile Promotion Forum (XGMF). Since 2026, he has held the position of Vice Dean of the School of Engineering, Director of Institute for Innovation in International Engineering Education, and Director of Corporate & External Relations Planning Office (CERPO), the University of Tokyo (–present). His research interests include information science and information communications.

Keynote Session 2: November 24 (Tue), 09:45–10:30, Room 401
Hiroyuki Tsuji
Director General, Wireless Networks Research Center, National Institute of Information and Communications Technology (NICT)

Title: Research and Development Trends in Non-Terrestrial Networks toward 6G

Abstract: This presentation provides an overview of recent advances in Non-Terrestrial Networks (NTN), including satellite communications, High Altitude Platform Stations (HAPS), and emerging Direct-to-Cell (D2C) services. The rapid expansion of low Earth orbit satellite constellations and direct satellite-to-smartphone connectivity is transforming future communication infrastructures. The presentation discusses the role of NTN in realizing the 6G vision of ubiquitous connectivity and resilient communications, with a focus on the integration of Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN). Key technical challenges, including network orchestration, mobility management, disaster resilience, and multi-layer network control, are introduced. The presentation also highlights NICT's research activities in satellite communications, HAPS, optical wireless communications, and TN/NTN convergence, together with the latest developments in international standardization within 3GPP and ITU-R. Finally, future prospects for 6G-enabled integrated networks supporting connectivity across land, sea, air, and space are discussed.

Keywords: 6G, Non-Terrestrial Networks (NTN), Satellite Communications, Direct-to-Cell (D2C), HAPS, Optical Wireless Communications, TN/NTN Convergence

Biography: Hiroyuki Tsuji received D.E. degrees in Electrical Engineering from Keio University, Tokyo, Japan in 1992. In 1992, he joined the Communications Research Laboratory (CRL, now part of the National Institute of Information and Communications Technology, or NICT). From 1999 to 2000, he was a visiting research fellow of the University of Minnesota. From 2002 to 2021, he was working at The University of Electro-Communications and Tokyo University of Agriculture and Technology as a visiting professor, which was an additional post. His research interests are array antennas for wireless communications, unmanned aircraft communication systems, and non-terrestrial network including satellite communication systems. He is now the Director General of the Wireless Networks Research Center in NICT, since April 2026.

Keynote Session 3: November 25 (Wed), 09:00–09:45, Room 401
Masahiro Takeoka
Professor, Department of Electronics and Electrical Engineering, Keio University

Title: Quantum network – from quantum key distribution network to the quantum internet –

Abstract: Quantum information technologies have attracted attention. It includes quantum computing, quantum sensing, and quantum communication as the three main pillars. Quantum communication, especially quantum key distribution (QKD), is recognized as one of the advanced quantum technologies in the sense that it has been already deployed in the field networks and ready to use in real world. Another growing field in quantum communication is the quantum network, also called the quantum internet, which intends to connect various quantum devices (computing, sensing, time/frequency synchronization, etc.), quantum mechanically. Such a network is expected to leverage the quantum advantage of the three pillars over the network whereas there are still some technical challenges to realize. In this talk, we will see an overview of quantum communication from the practical QKD network to the fully quantum network, the current activities in these fields, and discuss their future perspectives.

Biography: Masahiro Takeoka received a doctoral degree in electrical engineering from Keio University, Kanagawa, Japan. He then joined Quantum Information Technology Group at National Institute of Information and Communications Technology (NICT). He was working in Ministry of Internal Affairs and Communications of Japan in 2011-2012 and was a visiting scientist of Raytheon BBN Technologies in 2012-2013. From 2016 to 2020, he was a director of Quantum ICT Advanced Development Center in NICT. From 2021, he is a professor at the department of Electronics and Electrical Engineering in Keio University and an Otto Monsted guest professor in Technical University of Denmark. His current research area includes quantum cryptography, quantum network, distributed quantum computing, optical quantum information processing, and fundamental quantum information theory.