422 citations · 2k across the 112 of their papers we have counts for
113 papers
How to Differentiate between Near Field and Far Field: Revisiting the Rayleigh Distance
Shu Sun, Renwang Li, Chong Han +3
Future wireless systems are likely to adopt extremely large aperture arrays to achieve higher throughput, wider coverage, and higher spatial resolution. Conventional wireless syste…
Hierarchical Beam Alignment for Millimeter-Wave Communication Systems: A Deep Learning Approach
Junyi Yang, Weifeng Zhu, Meixia Tao +1
Fast and precise beam alignment is crucial for high-quality data transmission in millimeter-wave (mmWave) communication systems, where large-scale antenna arrays are utilized to ov…
Beam Scanning for Integrated Sensing and Communication in IRS-aided mmWave Systems
Renwang Li, Xiaodan Shao, Shu Sun +2
This paper investigates an intelligent reflecting surface (IRS) aided millimeter-wave integrated sensing and communication (ISAC) system. Specifically, based on the passive beam sc…
Fusion-Based Multi-User Semantic Communications for Wireless Image Transmission over Degraded Broadcast Channels
Tong Wu, Zhiyong Chen, Meixia Tao +2
Degraded broadcast channels (DBC) are a typical multi-user communications scenario. There exist classic transmission methods, such as superposition coding with successive interfere…
CDDM: Channel Denoising Diffusion Models for Wireless Communications
Tong Wu, Zhiyong Chen, Dazhi He +4
Diffusion models (DM) can gradually learn to remove noise, which have been widely used in artificial intelligence generated content (AIGC) in recent years. The property of DM for r…
Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization
Yuanming Shi, Shuhao Xia, Yong Zhou +3
Vertical federated learning (FL) is a collaborative machine learning framework that enables devices to learn a global model from the feature-partition datasets without sharing loca…