16 citations · 81 across the 16 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
Machine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networks
Xiao Liu, Yuanwei Liu, Yue Chen
A novel framework is proposed for integrating reconfigurable intelligent surfaces (RIS) in unmanned aerial vehicle (UAV) enabled wireless networks, where an RIS is deployed for enh…
Reconfigurable Intelligent Surfaces: Principles and Opportunities
Yuanwei Liu, Xiao Liu, Xidong Mu +4
Reconfigurable intelligent surfaces (RISs), also known as intelligent reflecting surfaces (IRSs), or large intelligent surfaces (LISs), have received significant attention for thei…
Resource Allocation for Multi-Cell IRS-Aided NOMA Networks
Wanli Ni, Xiao Liu, Yuanwei Liu +2
This paper proposes a novel framework of resource allocation in multi-cell intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) networks, where an IRS i…
Reinforcement Learning in Multiple-UAV Networks: Deployment and Movement Design
Xiao Liu, Yuanwei Liu, Yue Chen
A novel framework is proposed for quality of experience (QoE)-driven deployment and dynamic movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex th…
Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach
Xiao Liu, Yuanwei Liu, Yue Chen +1
A novel framework is proposed for the trajectory design of multiple unmanned aerial vehicles (UAVs) based on the prediction of users' mobility information. The problem of joint tra…