| 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 | 392 | 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 | 194 | 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 | 89 | 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 | 57 | 2015 |
| Cache-enabled heterogeneous cellular networks: Comparison and tradeoffs D Liu, C Yang 2016 IEEE International Conference on Communications (ICC), 1-6, 2016 | 44 | 2016 |
| 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 | 44 | 2014 |
| 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 | 42 | 2018 |
| Caching at base stations with heterogeneous user demands and spatial locality D Liu, C Yang IEEE Transactions on Communications 67 (2), 1554-1569, 2018 | 27 | 2018 |
| A deep reinforcement learning approach to proactive content pushing and recommendation for mobile users D Liu, C Yang IEEE Access 7, 83120-83136, 2019 | 26 | 2019 |
| 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 | 24 | 2020 |
| Optimal content placement for offloading in cache-enabled heterogeneous wireless networks D Liu, C Yang 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 16 | 2016 |
| Semi-dynamic cooperative cluster selection for downlink coordinated beamforming systems D Liu, Q Zhang, S Han, C Yang, G Wang, M Lei 2014 IEEE Wireless Communications and Networking Conference (WCNC), 1194-1199, 2014 | 7 | 2014 |
| 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 | 6 | 2021 |
| Energy-saving predictive video streaming with deep reinforcement learning D Liu, J Zhao, C Yang 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 6 | 2019 |
| 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 | 6 | 2019 |
| 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 | 5 | 2021 |
| 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 | 4 | 2021 |
| When exploiting individual user preference is beneficial for caching at base stations D Liu, C Yang, VCM Leung 2018 IEEE International Conference on Communications Workshops (ICC …, 2018 | 4 | 2018 |
| 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 | 2 | 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, 2022 | 1 | 2022 |
L HanzoChair of Telecommunications, University of SouthamptonVerifierad e-postadress på ecs.soton.ac.uk
