activity
20182021
most citedMachine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networks

10 citations · 30 across the 8 of their papers we have counts for

collaborators

14 papers

eess.SP2021

Meta-learning for RIS-assisted NOMA Networks

Yixuan Zou, Yuanwei Liu, Kaifeng Han +2

A novel reconfigurable intelligent surfaces (RISs)-based transmission framework is proposed for downlink non-orthogonal multiple access (NOMA) networks. We propose a quality-of-ser…

cs.NI2021

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.SP20213 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…

eess.SP20203 cited

Intelligent Reflecting Surface Aided Multi-Cell NOMA Networks

Wanli Ni, Xiao Liu, Yuanwei Liu +2

This paper proposes a novel framework of resource allocation in intelligent reflecting surface (IRS) aided multi-cell non-orthogonal multiple access (NOMA) networks, where a sum-ra…

cs.RO2020

Robotic Communications for 5G and Beyond: Challenges and Research Opportunities

Yuanwei Liu, Xiao Liu, Xinyu Gao +4

The ongoing surge in applications of robotics brings both opportunities and challenges for the fifth-generation (5G) and beyond (B5G) of communication networks. This article focuse…