activity
20242026
collaborators

13 papers

eess.SP2026

A Covert Precision Satellite Communication Framework Assisted by Cooperative IRSs

Haoyang Wu, Yunfan Bai, Mei Shen +5

Satellite communication (SatCom), as an effective complement to terrestrial networks, has attracted considerable attention from both academia and industry owing to its wide coverag…

eess.SP2026

Tensor-Based Dynamic Channel Estimation for mmWave Movable Antenna MIMO Systems

Zhendong Li, Linchu Chen, Lin Chen +5

This paper investigates the dynamic channel estimation algorithm in mmWave movable antenna (MA) multiple-input multiple-output (MIMO) systems. To achieve highly accurate channel es…

cs.IT2026

Engineering Favorable Propagation: Near-Field IRS Deployment for Spatial Multiplexing

Qingqing Wu, Yuxuan Chen, Guangji Chen +2

In intelligent reflecting surface IRS assisted multiple input multiple output MIMO systems, a strong line of sight LoS link is required to compensate for the severe cascaded path l…

eess.SP2025

Cooperative Rotatable IRSs for Wireless Communications: Joint Beamforming and Orientation Optimization

Qiaoyan Peng, Qingqing Wu, Guangji Chen +3

Rotatable intelligent reflecting surfaces (IRSs) introduce a new degree of freedom (DoF) for shaping wireless propagation by adaptively adjusting the orientation of IRSs. This pape…

eess.SP2025

Rotatable IRS Aided Wireless Communication

Qiaoyan Peng, Qingqing Wu, Guangji Chen +4

Rotatable intelligent reflecting surface (IRS) introduces a new spatial degree of freedom (DoF) by dynamically adjusting orientations without the need of changing its elements' pos…

cs.IT2025

Rotatable Antenna Meets UAV: Towards Dual-Level Channel Reconfiguration Paradigm for ISAC

Shiying Chen, Guangji Chen, Long Shi +2

Integrated sensing and communication (ISAC) is viewed as a key enabler for future wireless networks by sharing the hardware and wireless resources between the functionalities of se…

eess.SP2025

Conditional Diffusion Model-Driven Generative Channels for Double RIS-Aided Wireless Systems

Yiyang Ni, Qi Zhang, Guangji Chen +3

With the development of the upcoming sixth-generation networks (6G), reconfigurable intelligent surfaces (RISs) have gained significant attention due to its ability of reconfigurin…

eess.SP2025

Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition

Jie Zhang, Yiyang Ni, Jun Li +6

Reconfigurable intelligent surfaces (RISs) have been recognized as a revolutionary technology for future wireless networks. However, RIS-assisted communications have to continuousl…

eess.SP2025

Intelligent Reflecting Surfaces for Wireless Networks: Deployment Architectures, Key Solutions, and Field Trials

Qingqing Wu, Guangji Chen, Qiaoyan Peng +6

Intelligent reflecting surfaces (IRSs) have emerged as a transformative technology for wireless networks by improving coverage, capacity, and energy efficiency through intelligent…

eess.SP2024

IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff

Guangji Chen, Jun Li, Qingqing Wu +2

This paper investigates an intelligent reflecting surface (IRS) aided wireless federated learning (FL) system, where an access point (AP) coordinates multiple edge devices to train…

cs.IT2024

Spatial Multiplexing Oriented Channel Reconfiguration in Multi-IRS Aided MIMO Systems

Yuxuan Chen, Qingqing Wu, Guangji Chen +1

Spatial multiplexing plays a significant role in improving the capacity of multiple-input multiple-output (MIMO) communication systems. To improve the spectral efficiency (SE) of a…

cs.DC2024

Blockchain-aided wireless federated learning: Resource allocation and client scheduling

Jun Li, Weiwei Zhang, Kang Wei +4

Federated learning (FL) based on the centralized design faces both challenges regarding the trust issue and a single point of failure. To alleviate these issues, blockchain-aided d…

cs.DC2024

Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint

Jun Li, Weiwei Zhang, Kang Wei +3

As an emerging artificial intelligence technology, graph neural networks (GNNs) have exhibited promising performance across a wide range of graph-related applications. However, inf…