Bandit-Based Power Control in Full-Duplex Cooperative Relay Networks with Strict-Sense Stationary and Non-Stationary Wireless Communication Channels
Loading...
Access rights
openAccess
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2022-02-28
Major/Subject
Mcode
Degree programme
Language
en
Pages
13
Series
IEEE Open Journal of the Communications Society, Volume 3, pp. 366-378
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 source-relay, relay-destination and loop interference channels, thus resulting in increased overheads. Aiming to offer a low-complexity alternative for power control in such networks, we adopt reward-based learning in the sense of multi-armed bandits. More specifically, we present bandit-based power control, relying on acknowledgements/negative-acknowledgements observations by the relay. Our distributed algorithms avoid channel state information acquisition and exchange, and can alleviate the impact of outdated channel state information. Two cases are examined regarding the channel statistics of the wireless network, namely, strict-sense stationary and non-stationary channels. For the latter, a sliding window approach is adopted to further improve the performance. Performance evaluation highlights a performance-complexity trade-off, compared to optimal power control with full channel knowledge and significant gains over cases considering channel estimation and feedback overheads, outdated channel knowledge, no power control and random power level selection. Finally, it is shown that the sliding-window bandit-based algorithm provides improved performance in non-stationary settings by efficiently adapting to abrupt changes of the wireless channels.Description
Publisher Copyright: Author
Keywords
Channel estimation, Encoding, Full-duplex relaying, multi-armed bandits, non-stationary wireless channels, outdated CSI, power control, Power control, reinforcement learning, Relay networks (telecommunication), Resource management, sliding-window, upper confidence bound policies., Wireless communication, Wireless sensor networks
Other note
Citation
Nomikos, N, Talebi, M S, Charalambous, T & Wichman, R 2022, ' Bandit-Based Power Control in Full-Duplex Cooperative Relay Networks with Strict-Sense Stationary and Non-Stationary Wireless Communication Channels ', IEEE Open Journal of the Communications Society, vol. 3, pp. 366-378 . https://doi.org/10.1109/OJCOMS.2022.3154292