Ergodic Capacity Analysis of Downlink NOMA Systems Over κ-μ Shadowed Fading Channels

Said Mohammead Awad, Mohammed Abdel Hafez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this research paper, we analyze the performance of two downlink NOMA systems with imperfect successive interference cancellation (SIC) over κ-μ shadowed fading channels with the κ-μ distribution. Our focus is on evaluating the ergodic capacity (EC) of a downlink NOMA system while taking into account imperfect SIC at the near user. First, we obtain the statistical characterization of the instantaneous signal-to-noise plus interference ratios (SINRs) for both users by applying the Gamma approximation and considering the imperfect SIC at the near user from the base station of the NOMA system over κ-μ fading channels. Using the derived expressions of the distributions of these SINRs, we derive the exact closed-form expressions of the ECs of both users. We also obtain the ergodic sum capacity (ESC) of the NOMA system with imperfect SIC at the near user. We investigate the impact of different channel conditions of the κ- μ fading channels on EC performance of the system. We also analyze the impact of imperfect SIC on the ergodic capacity performance of the system and observe that EC performance improves by decreasing the level of SIC error. Finally, we validate our analysis through numerical and simulation results.

Original languageEnglish
Title of host publication2023 IEEE Virtual Conference on Communications, VCC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-245
Number of pages5
ISBN (Electronic)9798350318807
DOIs
Publication statusPublished - 2023
Event2023 IEEE Virtual Conference on Communications, VCC 2023 - Virtual, Online, United States
Duration: Nov 28 2023Nov 30 2023

Publication series

Name2023 IEEE Virtual Conference on Communications, VCC 2023

Conference

Conference2023 IEEE Virtual Conference on Communications, VCC 2023
Country/TerritoryUnited States
CityVirtual, Online
Period11/28/2311/30/23

Keywords

  • downlink NOMA systems
  • ergodic capacity
  • ergodic sum capacity
  • fading channels
  • imperfect SIC
  • successive interference cancellation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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