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On the Performance of IRS-Aided UAV Networks With NOMA

Authors
Solanki, SourabhPark, JunheeLee, Inkyu
Issue Date
8월-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Autonomous aerial vehicles; Downlink; Intelligent reflective surface (IRS); NOMA; Power system reliability; Probability; Resource management; Signal to noise ratio; non-orthogonal multiple access (NOMA); performance analysis; unmanned aerial vehicle (UAV)
Citation
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.71, no.8, pp.9038 - 9043
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume
71
Number
8
Start Page
9038
End Page
9043
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/143826
DOI
10.1109/TVT.2022.3171271
ISSN
0018-9545
Abstract
This paper investigates the performance of an intelligent reflective surface (IRS) assisted non-orthogonal multiple access (NOMA) system, where the IRS is mounted on an unmanned aerial vehicle (UAV) to assist the transmissions from a base station (BS). The BS utilizes the UAV as a relay to serve multiple user equipments (UEs) on the ground. In addition to the IRS relaying links, we also incorporate direct non line-of-sight links between the BS and UEs. We derive the outage probability for this system configuration. Moreover, we obtain a bound of the ergodic spectral efficiency to extract various useful insights. Furthermore, we also compare the performance of the proposed system design against the baseline scheme. Finally, we present numerical results to highlight the benefits of the proposed IRS-aided UAV relaying system and the accuracy of the derived analytical results.
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공과대학 (전기전자공학부)
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