期刊
IEEE WIRELESS COMMUNICATIONS LETTERS
卷 9, 期 4, 页码 443-447出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2019.2958121
关键词
Radio frequency; Resource management; Hybrid power systems; Quality of service; Fading channels; Wireless communication; Light emitting diodes; Visible light communication; hybrid networks; two-timescale; optimization; reinforcement learning; Q-learning
资金
- Texas A&M University at Qatar Responsive Research Seed Grant 2019 internal funds
- Ooredoo Research Sponsorship 2015
This letter investigates hybrid networks composed of a radio frequency (RF) access point (AP) and multiple visible light communication (VLC) APs. We consider mobile multi-homing users that can aggregate resources from both RF and VLC APs. In hybrid RF/VLC networks, RF channel gains vary faster than VLC channels due to small scale fading. By leveraging multi-agent Q-learning to interact with the dynamics of wireless environments, we develop an online two-timescale power allocation strategy that optimizes the transmit powers at the RF and VLC APs to ensure quality-of-service satisfaction. Simulation results demonstrate the effectiveness of the proposed Q-learning based strategy.
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