Wireless innovations Next-generation
Online Workshop(WiNOW)
3-6 November, 2025 // Virtual
Yin Xu
Shanghai Jiaotong University
Yin Xu (Senior Member, IEEE) is a professor at Shanghai Jiao Tong University (SJTU), Shanghai, China. Currently, his research interests span key technologies such as channel coding and modulation, new waveforms, next-generation reconfigurable antennas, broadcast/multicast, and AI-assisted communications, as well as the development of prototype systems for diverse communication scenarios (e.g., 5G/6G, broadcast, and short-range communications). He serves as an Associate Editor of IEEE Transactions on Broadcasting and is a recipient of the “6G Star Youth Scientist Award”. He has also served as a co-chair, session chair, and keynote speaker at various major IEEE international conferences. Notably, he is actively involved in communication system standardization: he serves as the Chief 3GPP Standards Delegate representing SJTU and holds the Vice-Chair position of Implementation Team 5 under the American Advanced Television Systems Committee (ATSC). His contributions to core physical layer technologies have been incorporated into multiple globally recognized communication standards, including 3GPP 5G, ATSC 3.0, and SparkLink SLE.
Talk Title: Research on Key Technology of 6G Candidate Waveform: Affine Frequency Division Multiplexing
Typical application scenarios for 6G communications encompass Non-Terrestrial Networks (NTN) and Integrated Sensing and Communications (ISAC), with 6G also required to support communications under high-mobility conditions. However, these emerging demands expose significant technical limitations of the conventional Orthogonal Frequency Division Multiplexing (OFDM) waveform, leaving it unable to fully adapt to such scenarios. Against this backdrop, Affine Frequency Division Multiplexing (AFDM)—an emerging waveform technology—exhibits robust compatibility with OFDM. Compared to OFDM, AFDM not only effectively mitigates Doppler frequency shifts and multipath fading (thereby guaranteeing reliable communication in harsh channel environments) but also offers enhanced sensing capabilities, addressing the core challenges of 6G scenario adaptation. This report systematically presents the innovative research findings of our team, focusing on four key technical areas: Peak-to-Average Power Ratio (PAPR) reduction for AFDM, low-overhead AFDM channel estimation, the integration of AFDM with channel coding, and the combination of AFDM with Multiple-Input Multiple-Output (MIMO). Furthermore, the speaker has utilized the aforementioned research outcomes to submit 3GPP 6G Waveform standard proposals and participate in discussions at the recent 6G RAN1 group meeting held in Prague in October. Collectively, this work establishes a solid foundation for validating the potential application of AFDM in 6G and other advanced communication systems.