| Caching at the wireless edge: design aspects, challenges, and future directions D Liu, B Chen, C Yang, AF Molisch IEEE Communications Magazine 54 (9), 22-28, 2016 | 482 | 2016 |
| Energy efficiency of downlink networks with caching at base stations D Liu, C Yang IEEE Journal on Selected Areas in Communications 34 (4), 907-922, 2016 | 222 | 2016 |
| Caching policy toward maximal success probability and area spectral efficiency of cache-enabled HetNets D Liu, C Yang IEEE Transactions on Communications 65 (6), 2699-2714, 2017 | 103 | 2017 |
| Semi-dynamic user-specific clustering for downlink cloud radio access network D Liu, S Han, C Yang, Q Zhang IEEE Transactions on Vehicular Technology 65 (4), 2063-2077, 2015 | 68 | 2015 |
| A learning-based approach to joint content caching and recommendation at base stations D Liu, C Yang 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 57 | 2018 |
| Cache-enabled heterogeneous cellular networks: Comparison and tradeoffs D Liu, C Yang 2016 IEEE International Conference on Communications (ICC), 1-6, 2016 | 48 | 2016 |
| A deep reinforcement learning approach to proactive content pushing and recommendation for mobile users D Liu, C Yang IEEE Access 7, 83120-83136, 2019 | 47 | 2019 |
| Will caching at base station improve energy efficiency of downlink transmission? D Liu, C Yang 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014 | 45 | 2014 |
| Optimizing wireless systems using unsupervised and reinforced-unsupervised deep learning D Liu, C Sun, C Yang, L Hanzo ieee network 34 (4), 270-277, 2020 | 41 | 2020 |
| Caching at base stations with heterogeneous user demands and spatial locality D Liu, C Yang IEEE Transactions on Communications 67 (2), 1554-1569, 2018 | 40 | 2018 |
| Deep reinforcement learning aided packet-routing for aeronautical ad-hoc networks formed by passenger planes D Liu, J Cui, J Zhang, C Yang, L Hanzo IEEE Transactions on Vehicular Technology 70 (5), 5166-5171, 2021 | 33 | 2021 |
| Deep learning aided routing for space-air-ground integrated networks relying on real satellite, flight, and shipping data D Liu, J Zhang, J Cui, SX Ng, RG Maunder, L Hanzo IEEE Wireless Communications 29 (2), 177-184, 2022 | 25 | 2022 |
| Optimal content placement for offloading in cache-enabled heterogeneous wireless networks D Liu, C Yang 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 19 | 2016 |
| Deep-Learning-Aided Packet Routing in Aeronautical Ad Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multiobjective … D Liu, J Zhang, J Cui, SX Ng, RG Maunder, L Hanzo IEEE Internet of Things Journal 9 (6), 4598-4614, 2021 | 18 | 2021 |
| Multiobjective optimization for integrated ground-air-space networks: Current research and future challenges J Cui, SX Ng, D Liu, J Zhang, A Nallanathan, L Hanzo IEEE Vehicular Technology Magazine 16 (3), 88-98, 2021 | 17 | 2021 |
| Model-free unsupervised learning for optimization problems with constraints C Sun, D Liu, C Yang 2019 25th Asia-Pacific Conference on Communications (APCC), 392-397, 2019 | 12 | 2019 |
| Multiple-objective packet routing optimization for aeronautical ad-hoc networks J Zhang, D Liu, S Chen, SX Ng, RG Maunder, L Hanzo IEEE Transactions on Vehicular Technology 72 (1), 1002-1016, 2022 | 10 | 2022 |
| Accelerating deep reinforcement learning with the aid of partial model: Energy-efficient predictive video streaming D Liu, J Zhao, C Yang, L Hanzo IEEE Transactions on Wireless Communications 20 (6), 3734-3748, 2021 | 10 | 2021 |
| Decentralized trajectory and power control based on multi-agent deep reinforcement learning in UAV networks B Chen, D Liu, L Hanzo ICC 2022-IEEE International Conference on Communications, 3983-3988, 2022 | 9 | 2022 |
| Energy-saving predictive video streaming with deep reinforcement learning D Liu, J Zhao, C Yang 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 9 | 2019 |
L HanzoChair of Telecommunications, University of Southampton在 ecs.soton.ac.uk 的电子邮件经过验证
