16 citations · 81 across the 16 of their papers we have counts for
16 papers
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…
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…
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…
Developing NOMA to Next Generation Multiple Access (NGMA): Future Vision and Research Opportunities
Yuanwei Liu, Wenqiang Yi, Zhiguo Ding +3
As a prominent member of the next generation multiple access (NGMA) family, non-orthogonal multiple access (NOMA) has been recognized as a promising multiple access candidate for t…
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…
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…
Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots
Ruikang Zhong, Xiao Liu, Yuanwei Liu +2
A communication enabled indoor intelligent robots (IRs) service framework is proposed, where non-orthogonal multiple access (NOMA) technique is adopted to enable highly reliable co…
Resource Allocation in IRSs Aided MISO-NOMA Networks: A Machine Learning Approach
Xinyu Gao, Yuanwei Liu, Xiao Liu +1
A novel framework of intelligent reflecting surface (IRS)-aided multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station…
NOMA in UAV-aided cellular offloading: A machine learning approach
Ruikang Zhong, Xiao Liu, Yuanwei Liu +1
A novel framework is proposed for cellular offloading with the aid of multiple unmanned aerial vehicles (UAVs), while non-orthogonal multiple access (NOMA) technique is employed at…
Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading
Ruikang Zhong, Xiao Liu, Yuanwei Liu +1
A novel framework is proposed for cellular offloading with the aid of multiple unmanned aerial vehicles (UAVs), while the non-orthogonal multiple access (NOMA) technique is employe…
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…