Xuanlin Liu
Orcid: 0000-0002-6261-6658
According to our database1,
Xuanlin Liu
authored at least 18 papers
between 2018 and 2023.
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Bibliography
2023
Biological Intelligence Inspired Trajectory Design for Energy Harvesting UAV Networks.
Sensors, January, 2023
2022
Enhanced Frame Preemption in Image and Video Transmission Over Time Sensitive Networks.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022
2021
IEEE Trans. Netw. Serv. Manag., 2021
A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks.
IEEE Internet Things J., 2021
Optimising resource allocation for virtual network functions in SDN/NFV-enabled MEC networks.
IET Commun., 2021
Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021
Allocating Three-dimensional Resources for URLLC Services with Different Latency Requirements.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021
2020
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks.
IEEE Trans. Wirel. Commun., 2020
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020
Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks.
Proceedings of the IEEE Globecom Workshops, 2020
2019
Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach.
J. Commun. Inf. Networks, 2019
A FAHP and MPTCP Based Seamless Handover Method in Heterogeneous SDN Wireless Networks.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019
Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Optimized Trajectory Design in UAV Based Cellular Networks: A Double Q-Learning Approach.
Proceedings of the IEEE International Conference on Communication Systems, 2018