Dong Liu
Orcid: 0000-0002-0619-1480Affiliations:
- Beihang University, School of Electronics and Information Engineering, Beijing, China
According to our database1,
Dong Liu
authored at least 31 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
Communication-Assisted Multi-Agent Reinforcement Learning Improves Task-Offloading in UAV-Aided Edge-Computing Networks.
IEEE Wirel. Commun. Lett., December, 2023
IEEE Trans. Veh. Technol., 2023
2022
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data.
IEEE Wirel. Commun., 2022
RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks.
IEEE Trans. Veh. Technol., 2022
Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off.
IEEE Trans. Cogn. Commun. Netw., 2022
Deep-Learning-Aided Packet Routing in Aeronautical Ad Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multiobjective Optimization.
IEEE Internet Things J., 2022
Decentralized Trajectory and Power Control Based on Multi-Agent Deep Reinforcement Learning in UAV Networks.
Proceedings of the IEEE International Conference on Communications, 2022
2021
Multiobjective Optimization for Integrated Ground-Air-Space Networks: Current Research and Future Challenges.
IEEE Veh. Technol. Mag., 2021
Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming.
IEEE Trans. Wirel. Commun., 2021
Semi-Stochastic Aircraft Mobility Modelling for Aeronautical Networks: An Australian Case-Study Based on Real Flight Data.
IEEE Trans. Veh. Technol., 2021
Deep Reinforcement Learning Aided Packet-Routing for Aeronautical Ad-Hoc Networks Formed by Passenger Planes.
IEEE Trans. Veh. Technol., 2021
Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization.
CoRR, 2021
2020
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning.
IEEE Netw., 2020
Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Passenger-Planes in the North-Atlantic Region.
CoRR, 2020
Accelerating Deep Reinforcement Learning With the Aid of a Partial Model: Power-Efficient Predictive Video Streaming.
CoRR, 2020
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
2019
IEEE Trans. Commun., 2019
A Deep Reinforcement Learning Approach to Proactive Content Pushing and Recommendation for Mobile Users.
IEEE Access, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the 25th Asia-Pacific Conference on Communications, 2019
2018
When Exploiting Individual User Preference Is Beneficial for Caching at Base Stations.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018
A Learning-Based Approach to Joint Content Caching and Recommendation at Base Stations.
Proceedings of the IEEE Global Communications Conference, 2018
2017
Caching Policy Toward Maximal Success Probability and Area Spectral Efficiency of Cache-Enabled HetNets.
IEEE Trans. Commun., 2017
Optimizing Caching Policy at Base Stations by Exploiting User Preference and Spatial Locality.
CoRR, 2017
2016
IEEE Trans. Veh. Technol., 2016
IEEE J. Sel. Areas Commun., 2016
IEEE Commun. Mag., 2016
Proceedings of the 2016 IEEE International Conference on Communications, 2016
Optimal Content Placement for Offloading in Cache-Enabled Heterogeneous Wireless Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2014
Semi-dynamic cooperative cluster selection for downlink coordinated beamforming systems.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014