97 citations · 105 across the 11 of their papers we have counts for
7 papers · 1 filter
Hybrid-Field Joint Channel and Visible Region Estimation for RIS-Assisted Communications
Xiaokun Tuo, Ming-Min Zhao, Xiang Wang +2
In reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) communication systems, the large-scale RIS introduces pronounced geometric effects that lead to the co…
Integrated Sensing, Communication, and Control for UAV-Assisted Mobile Target Tracking
Zhiyu Chen, Ming-Min Zhao, Songfu Cai +2
Unmanned aerial vehicles (UAVs) are increasingly deployed in mission-critical applications such as target tracking, where they must simultaneously sense dynamic environments, ensur…
Cross-Sparsity-Enabled Multipath Perception via Structured Bayesian Inference for Multi-Target Estimation
Xiang Chen, Ming-Min Zhao, An Liu +3
In this paper, we investigate a multi-target sensing system in multipath environment, where inter-target scattering gives rise to first-order reflected paths whose angles of depart…
Near-Field Sparse Bayesian Channel Estimation and Tracking for XL-IRS-Aided Wideband mmWave Systems
Xiaokun Tuo, Zijian Chen, Ming-Min Zhao +2
The rapid development of 6G systems demands advanced technologies to boost network capacity and spectral efficiency, particularly in the context of intelligent reflecting surfaces…
Channel Estimation for IRS-aided Multiuser Communications with Reduced Error Propagation
Yi Wei, Ming-Min Zhao, Min-Jian Zhao +1
Intelligent reflecting surface (IRS) has emerged as a promising paradigm to improve the capacity and reliability of a wireless communication system by smartly reconfiguring the wir…
A PDD Decoder for Binary Linear Codes With Neural Check Polytope Projection
Yi Wei, Ming-Min Zhao, Min-Jian Zhao +1
Linear Programming (LP) is an important decoding technique for binary linear codes. However, the advantages of LP decoding, such as low error floor and strong theoretical guarantee…
Learned Conjugate Gradient Descent Network for Massive MIMO Detection
Yi Wei, Ming-Min Zhao, Mingyi Hong +2
In this work, we consider the use of model-driven deep learning techniques for massive multiple-input multiple-output (MIMO) detection. Compared with conventional MIMO systems, mas…