activity
20192024
most citedA Dimension Reduction-Based Joint Activity Detection and Channel Estimation Algorithm for Massive Access

91 citations · 109 across the 14 of their papers we have counts for

collaborators

14 papers

eess.SP2024

Networked Integrated Sensing and Communications for 6G Wireless Systems

Jiapeng Li, Xiaodan Shao, Feng Chen +4

Integrated sensing and communication (ISAC) is envisioned as a key pillar for enabling the upcoming sixth generation (6G) communication systems, requiring not only reliable communi…

cs.IT2023

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…

cs.IT2023

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…

eess.SP2023★ 2 cited

Intelligent Reflecting Surface Aided Wireless Sensing: Applications and Design Issues

Xiaodan Shao, Changsheng You, Rui Zhang

Intelligent reflecting surface (IRS) is an emerging technology that is able to significantly improve the performance of wireless communications, by smartly tuning signal reflection…

cs.IT2022★ 1 cited

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…

eess.SP2022

Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning

Xiaodan Shao, Lei Cheng, Xiaoming Chen +2

This paper investigates a reconfigurable intelligent surface (RIS)-aided unsourced random access (URA) scheme for the sixth-generation (6G) wireless networks with massive sporadic…

eess.SP2022★ 4 cited

Target Sensing with Intelligent Reflecting Surface: Architecture and Performance

Xiaodan Shao, Changsheng You, Wenyan Ma +2

Intelligent reflecting surface (IRS) has emerged as a promising technology to reconfigure the radio propagation environment by dynamically controlling wireless signal's amplitude a…

cs.IT2021★ 1 cited

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…

cs.IT2021

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…

cs.IT2020★ 1 cited

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…

cs.IT2020★ 2 cited

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…

cs.IT2020★ 4 cited

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…

cs.IT2020★ 3 cited

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…

cs.IT2019★ 91 cited

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…