Enhanced Radio Network Management for 5G and Beyond: Leveraging RIS-enabled Cognitive Radio Networks

Reconfigurable Intelligent Surfaces (RIS) and Cognitive Radio (CR) offer solutions to improve spectral efficiency and mitigate spectrum scarcity. This article proposes a hybrid Dynamic Spectrum Management (DSM) paradigm combining Opportunistic Spectrum Access (OSA) and Concurrent Spectrum Access (CSA) models for spectrum allocation in RIS-supported CR environments. We frame the spectrum access issue as a game where each secondary user (SU) acts as a player to secure a communication channel. Our findings reveal that RIS technology significantly enhances spectrum allocation efficiency, quality of wireless communications, and spectrum sensing performance, providing high channel capacity and energy efficiency.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11161294
Citations
1
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
1.49
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article

Enhanced Radio Network Management for 5G and Beyond: Leveraging RIS-enabled Cognitive Radio Networks

Abdellah Chehri, Rachid Saadane, Mohamed Saber
1 citations
Cognitive Radio Networks and Spectrum Sensing
1.49
article

Enhanced Radio Network Management for 5G and Beyond: Leveraging RIS-enabled Cognitive Radio Networks

Abdellah Chehri, Rachid Saadane, Mohamed Saber
article en
1 citations

Abstract

Reconfigurable Intelligent Surfaces (RIS) and Cognitive Radio (CR) offer solutions to improve spectral efficiency and mitigate spectrum scarcity. This article proposes a hybrid Dynamic Spectrum Management (DSM) paradigm combining Opportunistic Spectrum Access (OSA) and Concurrent Spectrum Access (CSA) models for spectrum allocation in RIS-supported CR environments. We frame the spectrum access issue as a game where each secondary user (SU) acts as a player to secure a communication channel. Our findings reveal that RIS technology significantly enhances spectrum allocation efficiency, quality of wireless communications, and spectrum sensing performance, providing high channel capacity and energy efficiency.

Royal Military College of Canada (CA), Hassania School of Public Works (MA)
Openalex Percentile: Top 13%
Cognitive Radio Networks and Spectrum Sensing
1.49
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