Följ
Dong Liu (刘栋)
Dong Liu (刘栋)
Verifierad e-postadress på buaa.edu.cn
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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
3922016
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
1942016
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
892017
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
572015
Cache-enabled heterogeneous cellular networks: Comparison and tradeoffs
D Liu, C Yang
2016 IEEE International Conference on Communications (ICC), 1-6, 2016
442016
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
442014
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
422018
Caching at base stations with heterogeneous user demands and spatial locality
D Liu, C Yang
IEEE Transactions on Communications 67 (2), 1554-1569, 2018
272018
A deep reinforcement learning approach to proactive content pushing and recommendation for mobile users
D Liu, C Yang
IEEE Access 7, 83120-83136, 2019
262019
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
242020
Optimal content placement for offloading in cache-enabled heterogeneous wireless networks
D Liu, C Yang
2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016
162016
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
72014
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
62021
Energy-saving predictive video streaming with deep reinforcement learning
D Liu, J Zhao, C Yang
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
62019
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
62019
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
52021
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
42021
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
42018
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
22021
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
12022
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Artiklar 1–20