Xiao Liu

Orcid: 0000-0002-0205-9212

Affiliations:
  • Queen Mary University of London, School of Electronic Engineering and Computer Science, London, UK


According to our database1, Xiao Liu authored at least 31 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2022
Developing NOMA to Next Generation Multiple Access: Future Vision and Research Opportunities.
IEEE Wirel. Commun., 2022

Reconfigurable Intelligent Surface-Aided Multi-User Networks: Interplay Between NOMA and RIS.
IEEE Wirel. Commun., 2022

Path Design and Resource Management for NOMA Enhanced Indoor Intelligent Robots.
IEEE Trans. Wirel. Commun., 2022

Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches.
IEEE Trans. Wirel. Commun., 2022

Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading.
IEEE Trans. Wirel. Commun., 2022

Machine Learning Empowered Resource Allocation in IRS Aided MISO-NOMA Networks.
IEEE Trans. Wirel. Commun., 2022

Federated Learning Empowered Mobile RISs for NOMA Networks.
Proceedings of the IEEE International Conference on Communications, 2022

2021
AI-Driven UAV-NOMA-MEC in Next Generation Wireless Networks.
IEEE Wirel. Commun., 2021

Integrated 3C in NOMA-Enabled Remote-E-Health Systems.
IEEE Wirel. Commun., 2021

Artificial Intelligence Aided Next-Generation Networks Relying on UAVs.
IEEE Wirel. Commun., 2021

Resource Allocation for Multi-Cell IRS-Aided NOMA Networks.
IEEE Trans. Wirel. Commun., 2021

Three-Dimension Trajectory Design for Multi-UAV Wireless Network With Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2021

RIS Enhanced Massive Non-Orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design.
IEEE J. Sel. Areas Commun., 2021

Machine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networks.
IEEE J. Sel. Areas Commun., 2021

Application of NOMA in 6G Networks: Future Vision and Research Opportunities for Next Generation Multiple Access.
CoRR, 2021

Reconfigurable Intelligent Surfaces: Principles and Opportunities.
IEEE Commun. Surv. Tutorials, 2021

Robotic Communications for 5G and Beyond: Challenges and Research Opportunities.
IEEE Commun. Mag., 2021

Path Design for NOMA-Enhanced Robots: A Machine Learning Approach with Radio Map.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Meta-learning for RIS-assisted NOMA Networks.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Enhancing the Fuel-Economy of V2I-Assisted Autonomous Driving: A Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2020

Reconfigurable Intelligent Surface (RIS) Aided Multi-User Networks: Interplay Between NOMA and RIS.
CoRR, 2020

Priority-Oriented Trajectory Planning for UAV-Aided Time-Sensitive IoT Networks.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Reinforcement Learning in V2I Communication Assisted Autonomous Driving.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

NOMA in UAV-aided cellular offloading: A machine learning approach.
Proceedings of the IEEE Globecom Workshops, 2020

Intelligent Reflecting Surface Aided Multi-Cell NOMA Networks.
Proceedings of the IEEE Globecom Workshops, 2020

Resource Allocation In IRSs Aided MISO-NOMA Networks: A Machine Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach.
IEEE Trans. Veh. Technol., 2019

Reinforcement Learning in Multiple-UAV Networks: Deployment and Movement Design.
IEEE Trans. Veh. Technol., 2019

Machine Learning for Position Prediction and Determination in Aerial Base Station System.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Machine Learning Aided Trajectory Design and Power Control of Multi-UAV.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Deployment and Movement for Multiple Aerial Base Stations by Reinforcement Learning.
Proceedings of the IEEE Globecom Workshops, 2018


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