activity
20152023
most citedUser Association in 5G Networks: A Survey and an Outlook

617 citations · 1k across the 32 of their papers we have counts for

collaborators

32 papers

cs.IT2023★ 5 cited

Near-Field Beamforming for STAR-RIS Networks

Haochen Li, Yuanwei Liu, Xidong Mu +3

Recently, simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) have received significant research interest. The employment of large STAR-RIS a…

eess.SY2022

Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer

Ruikang Zhong, Yuanwei Liu, Xidong Mu +3

A simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted multi-user downlink multiple-input single-output (MISO) communication system is in…

cs.NI2021★ 7 cited

Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches

Ruikang Zhong, Xiao Liu, Yuanwei Liu +2

A novel framework of reconfigurable intelligent surfaces (RISs)-enhanced indoor wireless networks is proposed, where an RIS mounted on the robot is invoked to enable mobility of th…

eess.SP2021

Integrated 3C in NOMA-enabled Remote-E-Health Systems

Xiao Liu, Yuanwei Liu, Zhong Yang +3

A novel framework is proposed to integrate communication, control and computing (3C) into the fifth-generation and beyond (5GB) wireless networks for satisfying the ultra-reliable…

eess.SP2021★ 3 cited

Artificial Intelligence Driven UAV-NOMA-MEC in Next Generation Wireless Networks

Zhong Yang, Mingzhe Chen, Xiao Liu +4

Driven by the unprecedented high throughput and low latency requirements in next-generation wireless networks, this paper introduces an artificial intelligence (AI) enabled framewo…

cs.IT2021★ 7 cited

Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks

Zhong Yang, Yuanwei Liu, Yue Chen +1

A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access (NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic optimi…