activity
20232026
collaborators

5 papers

eess.SP2026

Low-Complexity Channel Estimation Framework for Non-Square UPA-Assisted XL-MIMO Systems

Yilong Liu, Xi Yang, Binggui Zhou +3

Low-complexity channel state information acquisition is crucial for extremely large-scale multiple-input multiple-output (XL-MIMO) systems. However, practical deployments of non-sq…

eess.SP2024

Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios

Binggui Zhou, Xi Yang, Shaodan Ma +2

In time division duplexing (TDD) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) can be obtained from uplin…

cs.IT2024

Joint Beamforming Optimization and Mode Selection for RDARS-Aided MIMO Systems

Jintao Wang, Chengzhi Ma, Shiqi Gong +2

Reconfigurable intelligent surface (RIS) has emerged as a cost-effective solution for green communications in 6G. However, its further extensive use has been greatly limited due to…

cs.IT2023

RDARS Empowered Massive MIMO System: Two-Timescale Transceiver Design with Imperfect CSI

Chengzhi Ma, Jintao Wang, Xi Yang +3

In this paper, we investigate a novel reconfigurable distributed antennas and reflecting surface (RDARS) aided multi-user massive MIMO system with imperfect CSI and propose a pract…

cs.IT2023

A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems

Binggui Zhou, Xi Yang, Jintao Wang +3

Accurate channel state information (CSI) is essential for downlink precoding in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems with orthog…