RIS-NOMA Systems in Nakagami-m Channels: Performance Metrics

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

Abstract

This paper comprehensively analyzes Non-Orthogonal Multiple Access (NOMA) systems augmented by Reconfigurable Intelligent Surfaces (RIS) under Nakagami-m fading channels. NOMA, which enhances spectral efficiency and connectivity, is integrated with RIS technology to improve the system performance. The study is done to evaluate the performance metrics using bit error probability (BEP), outage probability, and ergodic capacity under various configurations of RIS and successive interference cancellation (SIC) conditions (perfect and imperfect). This research provides foundational results for optimizing RIS-NOMA designs, showcasing their applicability for next-generation wireless networks, including ultra-reliable low-latency communications (URLLC) and Internet of Things (IoT) scenarios.

Original languageEnglish
Title of host publication5th IEEE Middle East and North Africa Communications Conference
Subtitle of host publicationBreaking Boundaries: Pioneering the Next Era of Communication, MENACOMM 2025
EditorsSarah Al-Shareeda, Sarah Al-Shareeda
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331519957
DOIs
Publication statusPublished - 2025
Event5th IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2025 - Hybrid, Byblos, Lebanon
Duration: Feb 20 2025Feb 22 2025

Publication series

Name5th IEEE Middle East and North Africa Communications Conference: Breaking Boundaries: Pioneering the Next Era of Communication, MENACOMM 2025

Conference

Conference5th IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2025
Country/TerritoryLebanon
CityHybrid, Byblos
Period2/20/252/22/25

Keywords

  • 5G networks
  • bit error probability (BEP)
  • ergodic capacity
  • Nakagami-m fading
  • Non-Orthogonal Multiple Access (NOMA)
  • outage probability
  • Reconfigurable Intelligent Surfaces (RIS)
  • successive interference cancellation (SIC)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Instrumentation

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