activity
20242026
collaborators

22 papers

eess.SP2026

Statistics Approximation-Enabled Distributed Beamforming for Cell-Free Massive MIMO

Zhe Wang, Emil Björnson, Jiayi Zhang +3

We study a distributed beamforming approach for cell-free massive multiple-input multiple-output networks, referred to as Global Statistics & Local Instantaneous information-based…

eess.SP2026

Low-Complexity Distributed Combining Design for Near-Field Cell-Free XL-MIMO Systems

Zhe Wang, Jiayi Zhang, Bokai Xu +4

In this paper, we investigate the low-complexity distributed combining scheme design for near-field cell-free extremely large-scale multiple-input-multiple-output (CF XL-MIMO) syst…

cs.IT2026

Low-Complexity Multi-Agent Continual Learning for Stacked Intelligent Metasurface-Assisted Secure Communications

Enyu Shi, Yiyang Zhu, Jiayi Zhang +6

Stacked intelligent metasurfaces (SIMs), composed of multiple layers of reconfigurable transmissive metasurfaces, are gaining prominence as a transformative technology for future w…

cs.IT2025

Beamforming Design for Beyond Diagonal RIS-Aided Cell-Free Massive MIMO Systems

Yizhuo Li, Jiakang Zheng, Bokai Xu +4

Reconfigurable intelligent surface (RIS)-aided cell-free (CF) massive multiple-input multiple-output (mMIMO) is a promising technology for further improving spectral efficiency (SE…

cs.IT2025

Flexible MIMO for Future Wireless Communications: Which Flexibilities are Possible?

Zhe Wang, Jiayi Zhang, Bokai Xu +3

In conventional multiple-input multiple-output (MIMO), static array configurations struggle in dynamic environments, and further antenna scaling is bounded by cost, energy, and foo…

cs.NI2025

Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visions

Zhe Wang, Jiayi Zhang, Hongyang Du +4

Next-generation Multiple-Input Multiple-Output (MIMO) is expected to be intelligent and scalable. In this paper, we study Large Language Model (LLM)-enabled next-generation MIMO ne…