Cost-Aware Bandits for Efficient Channel Selection in Hybrid Band Networks

Recently, hybrid band communications have received much attention to fulfil the exponentially growing user demands in next-generation communication networks. Still, determining the best band to communicate over is a challenging issue, especially in the dynamic channel conditions in multi-band wirele...

Full description

Saved in:
Bibliographic Details
Published in:Electronics (Basel) 2022-06, Vol.11 (11), p.1782
Main Authors: Hashima, Sherief, Hatano, Kohei, Fouda, Mostafa M., Fadlullah, Zubair M., Mohamed, Ehab Mahmoud
Format: Article
Language:English
Subjects:
Algorithms
Communication networks
Costs
Distance learning
Energy consumption
Energy conversion efficiency
Exploitation
Optical communication
Optimization
Power
Radio frequency
Random variables
Wireless communications
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Recently, hybrid band communications have received much attention to fulfil the exponentially growing user demands in next-generation communication networks. Still, determining the best band to communicate over is a challenging issue, especially in the dynamic channel conditions in multi-band wireless systems. In this paper, we manipulate a practical online-learning-based solution for the best band/channel selection in hybrid radio frequency and visible light communication (RF/VLC) wireless systems. The best band selection difficulty is formulated as a multi-armed bandit (MAB) with cost subsidy, in which the learner (transmitter) endeavors not only to increase his total reward (throughput) but also reduce his cost (energy consumption). Consequently, we propose two hybrid band selection (HBS) algorithms, named cost subsidy upper confidence bound (CSUCB-HBS) and cost subsidy Thompson sampling (CSTS-HBS), to efficiently handle this problem and obtain the best band with high throughput and low energy consumption. Extensive simulations confirm that CSTS-/CSUCB-HBS outperform the naive TS/UCB and heuristic HBS approaches regarding energy consumption, energy efficiency, throughput, and convergence speed.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics11111782