You can also browse my Google Scholar profile.
YS Nasir, D Guo
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
IEEE Journal on Selected Areas in Communications (Impact Factor 9.302), vol. 37, no. 10, pp. 2239 - 2250, 2019; doi: 10.1109/JSAC.2019.2933973
[BibTeX]
[IEEEXplore]
@article{nasir2019multi,
author={Y. S. {Nasir} and D. {Guo}},
journal={IEEE Journal on Selected Areas in Communications},
title={Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks},
year={2019},
volume={37},
number={10},
pages={2239-2250},
keywords={control engineering computing;learning (artificial intelligence);MIMO communication;multi-agent systems;optimisation;power control;quality of service;radio networks;radiofrequency interference;resource allocation;telecommunication computing;telecommunication control;wireless channels;wireless networks;transmit power control;near-optimal power allocation;challenging optimization problem;instantaneous cross-cell channel state information requirement;distributively executed dynamic power allocation scheme;model-free deep reinforcement learning;weighted sum-rate utility function;maximum sum-rate;deep Q-learning;typical network architecture;delayed CSI measurements;CSI delay;multiagent deep reinforcement;quality of service information;proportionally fair scheduling;real time;Resource management;Transmitters;Receivers;Fading channels;Dynamic scheduling;Power control;Heuristic algorithms;Deep Q-learning;radio resource management;interference mitigation;power control;Jakes fading model},
doi={10.1109/JSAC.2019.2933973},
ISSN={},
month={Oct},}
YS Nasir, D Guo
Deep reinforcement learning for distributed dynamic power allocation in wireless networks
arXiv preprint arXiv:1808.00490, Aug. 2018
[BibTeX]
[PDF]
@article{nasir2018deep,
title={Deep reinforcement learning for distributed dynamic power allocation in wireless networks},
author={Nasir, Yasar Sinan and Guo, Dongning},
journal={arXiv preprint arXiv:1808.00490},
year={2018}}