91 citations · 109 across the 14 of their papers we have counts for
10 papers · 1 filter
Target-Mounted Intelligent Reflecting Surface for Secure Wireless Sensing
Xiaodan Shao, Rui Zhang
In this paper, we consider a challenging secure wireless sensing scenario where a legitimate radar station (LRS) intends to detect a target at unknown location in the presence of a…
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…
Exploiting Tensor-based Bayesian Learning for Massive Grant-Free Random Access in LEO Satellite Internet of Things
Ming Ying, Xiaoming Chen, Xiaodan Shao
With the rapid development of Internet of Things (IoT), low earth orbit (LEO) satellite IoT is expected to provide low power, massive connectivity and wide coverage IoT application…
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…
Feature-Aided Adaptive-Tuning Deep Learning for Massive Device Detection
Xiaodan Shao, Xiaoming Chen, Yiyang Qiang +2
With the increasing development of Internet of Things (IoT), the upcoming sixth-generation (6G) wireless network is required to support grant-free random access of a massive number…
Cooperative Activity Detection: Sourced and Unsourced Massive Random Access Paradigms
Xiaodan Shao, Xiaoming Chen, Derrick Wing Kwan Ng +2
This paper investigates the issue of cooperative activity detection for grant-free random access in the sixth-generation (6G) cell-free wireless networks with sourced and unsourced…
Covariance-Based Cooperative Activity Detection for Massive Grant-Free Random Access
Xiaodan Shao, Xiaoming Chen, Derrick Wing Kwan Ng +2
This paper designs a cooperative activity detection framework for massive grant-free random access in the sixth-generation (6G) cell-free wireless networks based on the covariance…
Joint Activity Detection and Channel Estimation for mmW/THz Wideband Massive Access
Xiaodan Shao, Xiaoming Chen, Caijun Zhong +1
Millimeter-wave/Terahertz (mmW/THz) communications have shown great potential for wideband massive access in next-generation cellular internet of things (IoT) networks. To decrease…
A Dimension Reduction-Based Joint Activity Detection and Channel Estimation Algorithm for Massive Access
Xiaodan Shao, Xiaoming Chen, Rundong Jia
Grant-free random access is a promising protocol to support massive access in beyond fifth-generation (B5G) cellular Internet-of-Things (IoT) with sporadic traffic. Specifically, i…