Bandit-Based Power Control in Full-Duplex Cooperative Relay Networks
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A4 Artikkeli konferenssijulkaisussa
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Date
2021-06
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en
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ICC 2021 - IEEE International Conference on Communications, Proceedings, IEEE International Conference on Communications
Abstract
Full-duplex relaying is an enabling technique of sixth generation (6G) mobile networks, promising tremendous rate and spectral efficiency gains. In order to improve the performance of full-duplex communications, power control is a viable way of avoiding excessive loop interference at the relay. Unfortunately, power control requires channel state information of both source-relay and relay-destination channels, as well as of the loop interference channel, thus resulting in increased overheads. Aiming to offer a low-complexity alternative for power control in full-duplex relay networks, we adopt reward-based learning in the sense of multi-armed bandits. More specifically, we provide bandit-based power control algorithms, relying on acknowledgements/negative-acknowledgements observations by the relay. The proposed algorithms avoid the need for channel state information acquisition and exchange, and can be employed in a distributed manner. Performance evaluation results in terms of outage probability, average throughput and accumulated regret over time highlight an interesting performance-complexity trade-off compared to optimal power control with full channel knowledge and significant performance gains over the cases without power control and random power level selection.Description
Funding Information: ACKNOWLEDGMENT The work of T. Charalambous was supported by the Academy of Finland under Grant 317726. Publisher Copyright: © 2021 IEEE.
Keywords
Full-duplex relaying, machine learning, multi-armed bandits, power control
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Citation
Nomikos, N, Charalambous, T & Wichman, R 2021, Bandit-Based Power Control in Full-Duplex Cooperative Relay Networks . in ICC 2021 - IEEE International Conference on Communications, Proceedings . IEEE International Conference on Communications, IEEE, IEEE International Conference on Communications, Montreal, Canada, 14/06/2021 . https://doi.org/10.1109/ICC42927.2021.9501010