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Resource allocation for URLLC-oriented two-way UAV relaying

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Cai, Y., Jiang, X., Liu, M., Zhao, N., Chen, Yunfei and Wang, X. (2022) Resource allocation for URLLC-oriented two-way UAV relaying. IEEE Transactions on Vehicular Technology, 71 (3). pp. 3344-3349. doi:10.1109/TVT.2022.3143174 ISSN 0018-9545.

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Official URL: https://doi.org/10.1109/TVT.2022.3143174

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Abstract

Due to the high altitude and deployment flexibility, unmanned aerial vehicles (UAVs) can be used as a relay to avoid obstacles and extend the coverage of wireless networks. On the other hand, ultra-reliable and low-latency communication (URLLC) is often required to deliver the information reliably and timely for many emerging applications. In this correspondence, we combine the advantages of both UAV and URLLC to investigate the resource allocation for a URLLC-enabled two-way UAV relaying system. Our goal is to maximize the transmission rate of the backward link with the constraint of URLLC requirement for the forward link. The optimization is non-convex and difficult to solve. Therefore, the optimization variables are divided to several blocks, and three sub-problems are formulated and solved. Finally, an iterative algorithm is proposed to solve these sub-problems alternately. Simulation results show that the proposed joint optimization scheme can achieve excellent performance for the URLLC-enabled two-way UAV relaying system.

Item Type: Journal Article
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Drone aircraft, Drone aircraft in remote sensing, Wireless communication systems, Resource allocation, Signal processing, Radio -- Transmitter-receivers
Journal or Publication Title: IEEE Transactions on Vehicular Technology
Publisher: IEEE
ISSN: 0018-9545
Official Date: March 2022
Dates:
DateEvent
March 2022Published
14 January 2022Available
12 January 2022Accepted
Volume: 71
Number: 3
Page Range: pp. 3344-3349
DOI: 10.1109/TVT.2022.3143174
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 20 January 2022
Date of first compliant Open Access: 24 January 2022
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