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Ergodic Rate Analysis of RIS-Assisted BAC-NOMA Systems Under Nakagami-m Fading
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2023 (English)In: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 2378-2383Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we investigate the reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access-based backscatter communication (BAC-NOMA) system under Nakagami-m fading channels and element-splitting protocol. To evaluate the system performance, we first approximate the composite channel gain, i.e., the product of the forward and backscatter channel gains, as a Gamma random variable via the central limit theorem (CLT) and method of moments (MoM). Then, by leveraging the obtained results, we derive the closed-form expressions for the ergodic rates of the strong and weak backscatter nodes (BNs). To provide further insights, we conduct the asymptotic analysis in the high signal-to-noise ratio (SNR) regime. Our numerical results show an excellent correlation with the simulation results, validating our analysis, and demonstrate that the desired system performance can be achieved by adjusting the power reflection and element-splitting coefficients. Moreover, the results reveal the significant performance gain of the RIS-assisted BAC-NOMA system over the conventional BAC-NOMA system. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 2378-2383
Keywords [en]
Backscatter communication (BackCom), ergodic rate, non-orthogonal multiple access (NOMA), reconfigurable intelligent surfaces (RISs)
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:miun:diva-50911DOI: 10.1109/GLOBECOM54140.2023.10437538ISI: 001178562002155Scopus ID: 2-s2.0-85187375112ISBN: 9798350310900 (print)OAI: oai:DiVA.org:miun-50911DiVA, id: diva2:1845757
Conference
Proceedings - IEEE Global Communications Conference, GLOBECOM
Available from: 2024-03-20 Created: 2024-03-20 Last updated: 2024-04-12Bibliographically approved

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Mahmood, AamirGidlund, Mikael

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Department of Computer and Electrical Engineering (2023-)
Signal Processing

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf