activity
20072023
most citedTowards Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey

959 citations · 4.7k across the 87 of their papers we have counts for

collaborators

87 papers

eess.SP2023★ 17 cited

Channel Estimation and Training Design for Active RIS Aided Wireless Communications

Hao Chen, Nanxi Li, Ruizhe Long +1

Active reconfigurable intelligent surface (ARIS) is a newly emerging RIS technique that leverages radio frequency (RF) reflection amplifiers to empower phase-configurable reflectio…

cs.IT2023

Robust Secure Transmission for Active RIS Enabled Symbiotic Radio Multicast Communications

Bin Lyu, Chao Zhou, Shimin Gong +2

In this paper, we propose a robust secure transmission scheme for an active reconfigurable intelligent surface (RIS) enabled symbiotic radio (SR) system in the presence of multiple…

cs.IT2023

Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular Networks

Jungang Ge, Ying-Chang Liang, Liao Zhang +2

To accommodate the explosive wireless traffics, massive multiple-input multiple-output (MIMO) is regarded as one of the key enabling technologies for next-generation communication…

cs.IT2023

Multiple Access Design for Symbiotic Radios: Facilitating Massive IoT Connections with Cellular Networks

Jun Wang, Xiangyu Ding, Qianqian Zhang +1

Symbiotic radio (SR) has emerged as a spectrum- and energy-efficient paradigm to support massive Internet of Things (IoT) connections. Two multiple access schemes are proposed in t…

cs.IT2023

Impact of Channel Aging on Dual-Function Radar-Communication Systems: Performance Analysis and Resource Allocation

Jie Chen, Xiabin Wang, Ying-Chang Liang

In conventional dual-function radar-communication (DFRC) systems, the radar and communication channels are routinely estimated at fixed time intervals based on their worst-case ope…

cs.IT2022★ 73 cited

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

Peng Wei, Kun Guo, Ye Li +5

Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its uncertaint…