Talk：Advances in Energy-Efficient Architectures for Green 6G Networks
The anticipated advancement of 6G mobile networks brings unprecedented opportunities but also intensifies one of the most pressing challenges in wireless communications: energy consumption. Despite energy efficiency improvement in 4G and 5G, the wireless infrastructure continues to account for the majority of network energy use, highlighting the necessity to embed energy efficiency into 6G design from the outset.
This talk will present recent advances in energy-efficient architectures and algorithms for future communication technologies, including cell-free massive MIMO (CF-mMIMO), reconfigurable intelligent surfaces (RIS), federated learning (FL), and non-orthogonal multiple access (NOMA). Through both classical and learning–based optimization on resource allocation, user association, sleep mode management, beamforming, and edge scheduling, significantly improvements in energy efficiency of these systems can be achieved. This talk will also introduce the emerging concept of pinching antennas systems (PASS), exploring their potential to enhance both spectral and energy efficiency.
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Speakers
Daniel of University of Manchester
Advances in Energy-Efficient Architectures for Green 6G Networks
The anticipated advancement of 6G mobile networks brings unprecedented opportunities but also intensifies one of the most pressing challenges in wireless communications: energy consumption. Despite energy efficiency improvement in 4G and 5G, the wireless infrastructure continues to account for the majority of network energy use, highlighting the necessity to embed energy efficiency into 6G design from the outset.
This talk will present recent advances in energy-efficient architectures and algorithms for future communication technologies, including cell-free massive MIMO (CF-mMIMO), reconfigurable intelligent surfaces (RIS), federated learning (FL), and non-orthogonal multiple access (NOMA). Through both classical and learning–based optimization on resource allocation, user association, sleep mode management, beamforming, and edge scheduling, significantly improvements in energy efficiency of these systems can be achieved. This talk will also introduce the emerging concept of pinching antennas systems (PASS), exploring their potential to enhance both spectral and energy efficiency.
Biography:
Prof. Daniel K. C. So received the BEng (Hons) degree in Electrical and Electronics Engineering from the University of Auckland, New Zealand, and the PhD degree in Electronics Engineering from the Hong Kong University of Science and Technology (HKUST). He joined the University of Manchester as a Lecturer in 2003 and is now a Professor. He was the Discipline Head of Education and Deputy Head of Department of Electrical & Electronic Engineering.
His research interests include green communications, NOMA, beyond 5G and 6G networks, machine learning and federated learning, massive MIMO, cell-free mMIMO, RIS, flexible antenna system, and SWIPT. He served as a Senior Editor of IEEE Wireless Communication Letters in 2020-2024 and an Editor in 2016-2020. He also served as an Editor of IEEE Transactions on Wireless Communications between 2017-2023. He is currently an Editor of IEEE Transactions on Green Communications and Networking. He also served as a symposium co-chair for a number of IEEE ICC, Globecom, and Vehicular Technology Conference (VTC). He was the chair of the Green Cellular Networks Special Interest Group in the IEEE ComSoc Green Communications and Computing Technical Committee in 2020-2024.
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Address:UK, United Kingdom
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