Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions

Intelligent Reflective Surface (IRS) revolutionizes wireless network design by enabling precise control over signal propagation, which significantly enhances network performance. IRS optimizes wireless links by intelligently adjusting reflected signal properties, boosting power for legitimate users...

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Main Authors: Usama Mir, Ubaid Abbasi, Talha Mir, Satvika Pullisani
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11023542/
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author Usama Mir
Ubaid Abbasi
Talha Mir
Satvika Pullisani
author_facet Usama Mir
Ubaid Abbasi
Talha Mir
Satvika Pullisani
author_sort Usama Mir
collection DOAJ
description Intelligent Reflective Surface (IRS) revolutionizes wireless network design by enabling precise control over signal propagation, which significantly enhances network performance. IRS optimizes wireless links by intelligently adjusting reflected signal properties, boosting power for legitimate users while curbing interference and enhancing security against eavesdropping. On the other hand, cognitive radio networks (CRNs) are known to be efficient solutions when it comes to dynamic spectrum usage. To perform this task, the cognitive radio users are required to continuously sense the neighboring licensed and unlicensed users signals, thus, enhanced signal quality becomes an important concern in these networks. Given the promising potential of IRS, this paper provides a comprehensive review of its application in CRNs. We begin by discussing how IRS can be integrated into CRNs, followed by a brief survey of its various usages within this context. Additionally, we outline the main challenges and open issues associated with the effective deployment of IRS in CRNs and suggest future research directions.
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issn 2644-125X
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publishDate 2025-01-01
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spelling doaj-art-082c9e212bbe4651ace787f20b60d1cf2025-08-20T03:23:57ZengIEEEIEEE Open Journal of the Communications Society2644-125X2025-01-0165030504910.1109/OJCOMS.2025.357666811023542Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future DirectionsUsama Mir0https://orcid.org/0000-0002-7221-6279Ubaid Abbasi1https://orcid.org/0000-0001-8826-3064Talha Mir2Satvika Pullisani3https://orcid.org/0009-0008-8641-0823Department of Physics and Computer Science, Wilfrid Laurier University, Brantford, ON, CanadaDepartment of Science, Northwestern Polytechnic, Grande Prairie, AB, CanadaDepartment of Electronic Engineering, Faculty of ICT, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, PakistanDepartment of Physics and Computer Science, Wilfrid Laurier University, Brantford, ON, CanadaIntelligent Reflective Surface (IRS) revolutionizes wireless network design by enabling precise control over signal propagation, which significantly enhances network performance. IRS optimizes wireless links by intelligently adjusting reflected signal properties, boosting power for legitimate users while curbing interference and enhancing security against eavesdropping. On the other hand, cognitive radio networks (CRNs) are known to be efficient solutions when it comes to dynamic spectrum usage. To perform this task, the cognitive radio users are required to continuously sense the neighboring licensed and unlicensed users signals, thus, enhanced signal quality becomes an important concern in these networks. Given the promising potential of IRS, this paper provides a comprehensive review of its application in CRNs. We begin by discussing how IRS can be integrated into CRNs, followed by a brief survey of its various usages within this context. Additionally, we outline the main challenges and open issues associated with the effective deployment of IRS in CRNs and suggest future research directions.https://ieeexplore.ieee.org/document/11023542/Cognitive radio networksintelligent reflective surfaces
spellingShingle Usama Mir
Ubaid Abbasi
Talha Mir
Satvika Pullisani
Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions
IEEE Open Journal of the Communications Society
Cognitive radio networks
intelligent reflective surfaces
title Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions
title_full Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions
title_fullStr Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions
title_full_unstemmed Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions
title_short Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions
title_sort intelligent reflecting surface assisted cognitive radio networks recent trends usages challenges and future directions
topic Cognitive radio networks
intelligent reflective surfaces
url https://ieeexplore.ieee.org/document/11023542/
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AT ubaidabbasi intelligentreflectingsurfaceassistedcognitiveradionetworksrecenttrendsusageschallengesandfuturedirections
AT talhamir intelligentreflectingsurfaceassistedcognitiveradionetworksrecenttrendsusageschallengesandfuturedirections
AT satvikapullisani intelligentreflectingsurfaceassistedcognitiveradionetworksrecenttrendsusageschallengesandfuturedirections