214 citations · 929 across the 45 of their papers we have counts for
6 papers · 1 filter
Unsourced Random Massive Access with Beam-Space Tree Decoding
Jingze Che, Zhaoyang Zhang, Zhaohui Yang +3
The core requirement of massive Machine-Type Communication (mMTC) is to support reliable and fast access for an enormous number of machine-type devices (MTDs). In many practical ap…
C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction
Zhuoran Xiao, Zhaoyang Zhang, Chongwen Huang +3
In this paper, we aim to efficiently and accurately predict the static channel impulse response (CIR) with only the user's position information and a set of channel instances obtai…
Generalized Memory Approximate Message Passing
Feiyan Tian, Lei Liu, Xiaoming Chen
Generalized approximate message passing (GAMP) is a promising technique for unknown signal reconstruction of generalized linear models (GLM). However, it requires that the transfor…
Exploiting Simultaneous Low-Rank and Sparsity in Delay-Angular Domain for Millimeter-Wave/Terahertz Wideband Massive Access
Xiaodan Shao, Xiaoming Chen, Caijun Zhong +1
Millimeter-wave (mmW)/Terahertz (THz) wideband communication employing a large-scale antenna array is a promising technique of the sixth-generation (6G) wireless network for realiz…
A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access
Xiaodan Shao, Lei Cheng, Xiaoming Chen +2
This paper investigates the problem of joint massive devices separation and channel estimation for a reconfigurable intelligent surface (RIS)-aided unsourced random access (URA) sc…
Fronthaul Compression and Passive Beamforming Design for Intelligent Reflecting Surface-aided Cloud Radio Access Networks
Yu Zhang, Xuelu Wu, Hong Peng +2
This letter studies a cloud radio access network (C-RAN) with multiple intelligent reflecting surfaces (IRS) deployed between users and remote radio heads (RRH). Specifically, we c…