Prof. Shoji Kasahara
Professor of Division of Information Science,
Nara Institute of Science and Technology
Short Bio:
Shoji Kasahara received the B. Eng., M. Eng., and Dr. Eng. degrees from Kyoto University, Kyoto, Japan, in 1989, 1991, and 1996, respectively. Currently, he is a Professor of Division of Information Science, Nara Institute of Science and Technology. His research interests include stochastic modeling and analytics of large-scale complex systems based on computer/communication networks. He was the Editor-in-Chief of IEICE Transactions on Communications during 2016-2018, the Director of Journal and Transactions, IEICE, during 2020–2022, and the President of Communications Society, IEICE, during 2023-2024. He is a fellow of IEICE and ORSJ, and a senior member of IEEE.
Topic:
Performance Modeling of Blockchain Technologies: How Does the Consensus Mechanism Affect Transaction Confirmation and Security in Blockchain Networks
In the blockchain technologies, consensus algorithms such as Proof-of-Work (PoW) and Proof-of-Stake play a crucial role for ensuring agreement among decentralized network participants on the validity of transactions, maintaining the integrity and security of the blockchain. In this talk, we first focus on the PoS, introducing a performance modeling approach to the transaction-confirmation time analysis using queueing theory. Then, we discuss the interaction between miner decision and user action for Bitcoin blockchain. We also show the security issue of PoS-based voting mechanism for Decentralized Autonomous Organizations (DAOs).
Satoshi Nagata
Senior Manager, 6G Network Innovation Department, NTT DOCOMO, INC.
Short Bio:
Satoshi Nagata received his B.E. and M.E. degrees from Tokyo Institute of Technology, Tokyo, Japan. He joined NTT DOCOMO, INC., and worked on the research and development for wireless access technologies for LTE, LTE-Advanced, 5G, and 6G. He had contributed to 3GPP over 20 years, and contributed 3GPP TSG-RAN WG1 as a vice chairman during November 2011 to August 2013, and contributed as a chairman during August 2013 to August 2017. He had also contributed 3GPP TSG-RAN as a vice chairman during March 2017 to March 2021, and currently a vice chairman of 3GPP TSG-SA since March 2021.
Topic:
Evolution of Mobile Communication Technology for 5G Evolution and Toward 6G
5G is characterized by high data rate / high capacity, low latency and massive connectivity. With these features, 5G is expected to further upgrade multimedia communication services from the level achieved by the previous generations including 4G, and to provide new value as a fundamental technology that supports future industry and society along with AI and IoT. Now, 6G related research activity is very active in the world. In this presentation, we will show the direction of evolution of mobile communication technology for 5G Evolution and toward 6G, which represents a vision of the world in the 2030’s. We will also show the concepts for the requirements, use cases and technological development and research activity.
Dr. Nasimuddin
Institute for Infocomm Research, A-STAR, Singapore
Short Bio:
He received a B.E. and M.E. from Tokyo Institute of Technology in 2001 and 2003. In 2003, he joined NTT DOCOMO, where he engaged in the research and development for wireless access technologies for Long-Term Evolution (LTE), LTE-Advanced, and 5G. He has been contributing to 3GPP for over 15 years and served as a vice chairman of 3GPP TSG-RAN WG1 from November 2011 to August 2013 and as a chairman from August 2013 to August 2017. He also served as a vice chairman of 3GPP TSG-RAN from March 2017 to March 2021 and has been a vice chairman of 3GPP TSG-SA since March 2021.Dr. Nasimuddin (M’2003-SM’2009) earned his M.Tech. and Ph.D. from the University of Delhi in 1998 and 2004. He served as a Senior Research Fellow at the University of Delhi (1999-2003) and as an Australian Postdoctoral Research Fellow at Macquarie University (2004-2006). Currently, he is a Principal Scientist at the Institute for Infocomm Research (I2R), A*STAR, Singapore. Dr. Nasimuddin has authored over 240 papers, holds three patents, and has edited books, including a notable work on microstrip antennas. Recognized among the top 2% of world scientists in 2023, he is a distinguished speaker, reviewer, and conference organizer. A Senior Member of IEEE and IEEE APS, he has received awards such as the URSI Young Scientist Award (2005) and IEEE APS Exceptional Performance Reviewer accolades. He also serves as an Associate Editor for IJAP/IEEE OJAP and is actively involved with Antennas and Propagation-related journal editorial boards.
Topic:
Innovations in Reconfigurable Antennas: A Comprehensive Overview and Applications
Prof. Claes Beckman
Senior Researcher, KTH Royal Institute of Technology,
Stockholm and Icomera AB, Göteborg Sweden.
Short Bio:
Prof. Claes Beckman is a Swedish engineer, physicist, and professor with a distinguished career spanning over 40 years in microwave engineering and antenna systems. He has been instrumental in developing technologies that have shaped modern communication systems, with significant contributions to 4G and 5G standards. Currently, he holds a dual role as a senior researcher at the KTH Royal Institute of Technology in Stockholm and as a Senior Expert at Icomera AB, where he has played a key role in transforming the company from a start-up to a global leader in passenger internet solutions for trains.
Throughout his career, Dr. Beckman has been at the forefront of innovation, leading projects that have resulted in numerous products, patents, and scientific publications. He has designed antennas for 1G, 2G, and 3G systems, and his work in the EU-funded METIS project contributed to the first 5G standard. An advisor to over 100 M.Sc. and 7 Ph.D. students, he has also been involved in the founding of multiple start-ups. Today, his research focuses on Converged Satellite and Cellular Connectivity, a promising technology for the upcoming 6G networks.
Topic:
The successes and failures of 5G to meet its original objectives and what we can hope for with 6G
SK Telecom launched their fifth generation (5G) mobile phone system on the 3rd of April 2019 and shortly thereafter Verizon launched in the US. 5G was introduced with a hype that matches nothing else in the history of Telecom. Suddenly the World was gifted with a communications system that was going to become the solution for not only the everyday Netflix consumer but also for the digitization of society as a whole, transportation, Industry 4.0, Blue-lights, you name it!
The hype was caused by both the telecom vendors as well as the Mobile Network Operators (MNOs), whose revenues have been falling dramatically since around 2007. In an attempt to improve the operator’s profitability and revenues, the ambition behind 5G’s was to produce data at a much lower cost than 4G, while also enabling a number of new use cases and, hence, possible new revenue streams.
In 2015 the Next Generation Mobile Networks Alliance (NGMN) published a white paper with the ambition to announce the expectations that the MNOs had on 5G. In short, the paper presented eight use-cases/services within various new verticals, which 5G would enable for the MNOs to enter.
Eight new use-cases proposed for 5G by the Next Generation Mobile Network Aliance in 2015
Almost a decade later, we are still to see any successful use-case besides broadband internet access. Broadband in rural areas are still scarce due to cost of deployment. High speed trains are when it is possible, still mainly connected to 4G at sub 1 GHz bands. IoT still lacks a cost efficient 5G narrowband modems. Ultra Reliable and Low Latency Communications (URLC) envisioned as an enabler for Industry 4.0, is still only a vision and industry communications is dominated by Wi-Fi; Unicast broadcast services are today of little or no interest and communications systems for Public Protection and Disaster Relief (PPDR) is still most often based on systems such as TETRA or LTE.
Still, both society and Industry and have a lot to gain by implementing cellular technology for the use cases described above and it is a major failure by the industry that 5G has not met its expectations. This talk will analyse both the successes and failures of 5G to meet its original objectives, some of the reasons behind those failures and, what we can hope for with the development of 6G?
Prof. Yang Yang
Professor, HKUST (Guangzhou), China
Short Bio:
Dr. Yang Yang is a Professor with the IoT Thrust, the Director of Research Center for the Digital World with Intelligent Things (DOIT), and the Associate Vice-President for Teaching and Learning at the Hong Kong University of Science and Technology (Guangzhou), China. His research interests include multi-tier computing networks, 5G/6G systems, AIoT technologies, intelligent services and applications, and advanced wireless testbeds. He has published more than 300 papers and filed more than 120 technical patents in these research areas. Yang is a Fellow of the IEEE.
Topic:
Collaborative Edge Computing for Large AI Models on Wireless Networks
Large AI models have emerged as a crucial element in various intelligent applications at the network edge, such as voice assistants in smart homes and autonomous robotics in smart factories. Computing big AI models, e.g., for personalized fine-tuning and continual serving, poses significant challenges to edge devices due to the inherent conflict between limited computing resources and intensive workload associated with training. Despite the constraints of on-device training, traditional approaches usually resort to aggregating data and sending it to a remote cloud for centralized computation. Nevertheless, this approach is neither sustainable, which strains long-range backhaul transmission and energy-consuming datacenters, nor safely private, which shares users’ raw data with remote infrastructures. To address these challenges, we alternatively observe that prevalent edge environments usually contain a diverse collection of trusted edge devices with untapped idle resources, which can be leveraged for edge training acceleration. Motivated by this, we propose to leverage edge collaboration, a novel mechanism that orchestrates a group of trusted edge devices as a resource pool, for expedited, sustainable large AI model computing at the edge. As an initial step, we present a comprehensive framework for building collaborative edge computing systems and analyze in-depth its merits and sustainable scheduling choices following its workflow. To further investigate the impact of its parallelism design, we empirically study a case of four typical parallelisms from the perspective of energy demand with realistic testbeds. Finally, we discuss open challenges for sustainable edge collaboration to point to future directions of edge-centric large AI model computing.