Wireless innovations Next-generation
Online Workshop(WiNOW)
3-6 November, 2025 // Virtual
Yijie (Lina) Mao
Shanghai Tech University
Yijie (Lina) Mao is an Assistant Professor at the School of Information Science and Technology, ShanghaiTech University, Shanghai, China. She received the B.Eng. degree from the Beijing University of Posts and Telecommunications, and the B.Eng. (Hons.) degree from the Queen Mary University of London (London, United Kingdom) in 2014. She received the Ph.D. degree in the Electrical and Electronic Engineering Department from the University of Hong Kong (Hong Kong, China) in 2018. She was a Postdoctoral Research Fellow at the University of Hong Kong (Hong Kong, China) from Oct. 2018 to Jul. 2019 and a postdoctoral research associate with the Communications and Signal Processing Group (CSP), Department of the Electrical and Electronic Engineering at the Imperial College London (London, United Kingdom) from Aug. 2019 to Jul. 2021. Her research interests include the design of future wireless communications and artificial intelligence-empowered wireless networks.She is a senior member of China Institute of Communications. Dr. Mao receives the Best Paper Awards of EURASIP Journal on Wireless Communications and Networking (JWCN) 2022 and IEEE International Mediterranean Conference on Communications and Networking (MeditCom) 2023, the Exemplary Reviewers for IEEE Transactions on Communications 2021 and IEEE Communications Letters 2022, 2023. She is currently serving as an associate editor for IEEE Communications Surveys & Tutorials, IEEE Transactions on Mobile Computing, and IEEE Communications Letters, and the lead guest editor for one special issue of IEEE Transactions on Green Communications and Networking. She was a guest editor for two special issues of IEEE Journal on Selected Areas in Communications and IEEE Open Journal of the Communications Society. She has been a workshop co-chair for 2020-2023 IEEE ICC, 2021-2023 IEEE WCNC, and 2020-2022 IEEE PIMRC, and she has been a Technical Program Committee (TPC) member of many symposia on wireless communication for several leading international IEEE conferences. She has been recognized as the World’s Top 2% Scientists by Stanford University in 2023 and 2024.
Talk Title: Rate-Splitting Multiple Access: A Promising PHY-layer Technology for 6G
In order to efficiently cope with the high throughput, reliability, heterogeneity of Quality-of-Service (QoS), and massive connectivity requirements of future 6G multi-antenna wireless networks, multiple access and multiuser communication system design need to depart from conventional interference management strategies, namely fully treat interference as noise (as commonly used in 4G/5G, MU-MIMO, CoMP, Massive MIMO, millimetre wave MIMO) and fully decode interference (as in Non-Orthogonal Multiple Access, NOMA). This paper is dedicated to the theory and applications of a more general and powerful transmission framework based on Rate-Splitting Multiple Access (RSMA) that splits messages into common and private parts and enables to partially decode interference and treat remaining part of the interference as noise. This enables RSMA to softly bridge and therefore reconcile the two extreme strategies of fully decode interference and treat interference as noise and provide room for spectral efficiency, energy efficiency and QoS enhancements, robustness to imperfect Channel State Information at the Transmitter (CSIT), and complexity reduction. This paper provides an overview of RSMA and its potential to address the requirements of 6G.