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Joint location and transmit power optimization for NOMA-UAV networks via updating decoding order

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Zhang, Ran, Pang, Xiaowei, Tang, Jie, Chen, Yunfei, Zhao, Nan and Wang, Xianbin (2020) Joint location and transmit power optimization for NOMA-UAV networks via updating decoding order. IEEE Wireless Communications Letters . p. 1. doi:10.1109/LWC.2020.3023253 (In Press)

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Official URL: http://dx.doi.org/10.1109/LWC.2020.3023253

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Abstract

Unmanned aerial vehicle (UAV) can be combined with non-orthogonal multiple access (NOMA) to achieve better performance. However, jointly optimizing the location, transmit power and decoding order for NOMA-UAV networks remains difficult, due to the change of decoding order as a result of UAV mobility. In this letter, a low-complexity scheme is proposed to maximize the sum rate of NOMA-UAV networks via updating decoding order, which can be decomposed into two steps. First, the joint location and power optimization can be divided into two non-convex sub-problems, which are further approximated via successive convex optimization. Then, the decoding order is updated according to the optimized UAV location. An iterative algorithm is proposed to execute the two steps alternately. In addition, the asymptotic performance is analyzed. Simulation results demonstrate the effectiveness of the proposed scheme.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Drone aircraft , Drone aircraft -- Control systems, Multiple access protocols (Computer network protocols) , Wireless communication systems, Wireless power transmission, Interference (Aerodynamics)
Journal or Publication Title: IEEE Wireless Communications Letters
Publisher: IEEE
ISSN: 2162-2337
Official Date: 2020
Dates:
DateEvent
2020Published
10 September 2020Available
7 September 2020Accepted
Date of first compliant deposit: 18 September 2020
Page Range: p. 1
DOI: 10.1109/LWC.2020.3023253
Status: Peer Reviewed
Publication Status: In Press
Publisher Statement: © 2020 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
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
61871065 [NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61971194[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809

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