Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach

Mostafa M. Fouda, Sherief Hashima, Sadman Sakib, Zubair Md Fadlullah, Kohei Hatano, Xuemin Shen

研究成果: ジャーナルへの寄稿学術誌査読

15 被引用数 (Scopus)

抄録

We investigate optimal band/channel selection in hybrid radio frequency and visible light communication (RF/VLC) networks. Particularly, we first develop a robust hybrid RF/VLC based system model for the optimal band/channel selection. We then formulate it as an online stochastic budget-constrained multi-armed bandit (MAB) problem. Two online learning algorithms based on different optimal policies are proposed to choose the appropriate band, i.e., energy-aware band selection with upper confidence bound (EABS-UCB) and energy-aware band selection with Thompson sampling (EABS-TS). The cost/budget is the battery consumption of the transmitting device according to the selected band. Through extensive simulations, it is confirmed that the proposed EABS-TS emerges as the superior technique compared with the random, brute-force, and EABS-UCB band selection schemes, in terms of energy efficiency, average throughput, and convergence performance.

本文言語英語
ページ(範囲)6853-6858
ページ数6
ジャーナルIEEE Transactions on Vehicular Technology
71
6
DOI
出版ステータス出版済み - 6月 1 2022
外部発表はい

!!!All Science Journal Classification (ASJC) codes

  • 航空宇宙工学
  • 電子工学および電気工学
  • コンピュータ ネットワークおよび通信
  • 自動車工学

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