University of Oulu

P. Pourbaba, S. Ali, K. B. S. Manosha and N. Rajatheva, "Multi-Armed Bandit Learning for Full-Duplex UAV Relay Positioning for Vehicular Communications," 2019 16th International Symposium on Wireless Communication Systems (ISWCS), Oulu, Finland, 2019, pp. 188-192,

Multi-armed bandit learning for full-duplex UAV relay positioning for vehicular communications

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Author: Pourbaba, Pouya1; Ali, Samad1; Manosha, K. B. Shashika1;
Organizations: 1Center for Wireless Communications (CWC), University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 3.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-05-05


Utilizing unmanned aerial vehicles (UAVs) in wireless communications can help to improve the capacity of terrestrial networks. In this paper, a novel method is proposed to position a UAV in an optimal location to relay the information from a vehicle to a base station (BS). The proposed method uses predefined locations for the UAV and treats them as the actions for a multi-armed bandit (MAB) framework. The upper confidence bound (UCB) algorithm is used to solve the MAB problem. The results show that this method can identify an optimal location for the UAV to maximize the sum rate of the network.

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Series: International Symposium on Wireless Communication Systems
ISSN: 2154-0217
ISSN-E: 2154-0225
ISSN-L: 2154-0217
ISBN: 978-1-7281-2527-5
ISBN Print: 978-1-7281-2528-2
Pages: 188 - 192
DOI: 10.1109/ISWCS.2019.8877122
Conference: International Symposium on Wireless Communication Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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