Publication:
Reconfigurable intelligent surface identification in mobile networks: opportunities and challenges

dc.contributor.coauthorArslan, E.
dc.contributor.coauthorDogukan, A. T.
dc.contributor.coauthorKilinc, F.
dc.contributor.coauthorCoskun, A. F.
dc.contributor.coauthorBasar, E.
dc.date.accessioned2026-08-14T11:26:24Z
dc.date.issued2025
dc.description.abstractThe advent of the sixth generation (6G) wireless networks heralds a transformative era for mobile communication, where the integration of cutting-edge technologies like Reconfigurable Intelligent Surfaces (RISs) is paramount in addressing the burgeoning demands for energy efficiency, high data rates, reliable connectivity, and enhanced coverage in densely populated areas. RISs have attracted the attention of academia as well as the industry and emerged as a beacon of innovation, offering a novel paradigm to reconfigure the wireless propagation environment beneficially, thereby enhancing the overall network performance. It is envisioned that the deployment of numerous RISs in a mobile network will serve user equipments (UEs) to boost various key performance indicators (KPIs), with lower energy consumption compared to alternative solutions (e.g., relays, and network-controlled repeaters). However, the knowledge of whether or not a UE is being served through an RIS, and if so, which RIS it is being served by, is crucial and beneficial for various network planning and operational reasons. In this article, we address the importance and the benefits of RIS identification in a mobile network. Additionally, we guide the readers and researchers by introducing alternative methods to enable RIS identification. Through the lens of this research, we shed light on various benefits for, the challenges to, and future opportunities in the identification of RISs serving mobile users in complex network environments, highlighting the necessity for advanced identification strategies to fully harness the potential of RIS technology in next-generation wireless systems.
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipThis work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) through the 1515 Frontier Research and Development Laboratories Support Program under Project 5229901 - 6GEN. Lab: 6G and Artificial Intelligence Laboratory
dc.description.versionPublished Version
dc.identifier.ScopusPercentile98
dc.identifier.ScopusQuartileQ1
dc.identifier.WoSPercentile99,2
dc.identifier.WoSQuartileQ1
dc.identifier.doi10.1109/mwc.002.2400228
dc.identifier.eissn1558-0687
dc.identifier.embargoN/A
dc.identifier.endpage139
dc.identifier.grantno5229901
dc.identifier.issn1536-1284
dc.identifier.issue4
dc.identifier.scopus2-s2.0-105003539432
dc.identifier.startpage132
dc.identifier.urihttp://doi.org/10.1109/mwc.002.2400228
dc.identifier.urihttps://hdl.handle.net/20.500.14288/34602
dc.identifier.volume32
dc.identifier.wos001480224100001
dc.keywordsReconfigurable intelligent surfaces
dc.keywords6G mobile communication
dc.keywordsSecurity
dc.keywordsWireless networks
dc.keywordsEnergy efficiency
dc.keywordsAccuracy
dc.keywords5G mobile communication
dc.keywordsRepeaters
dc.keywordsObject recognition
dc.keywordsInterference
dc.languageeng
dc.publisherIEEE
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofIEEE Wireless Communications
dc.relation.openaccessN/A
dc.rightsN/A
dc.rights.uriN/A
dc.subjectPhysical sciences
dc.subjectEngineering
dc.subjectTelecommunications
dc.subjectElectrical and electronic engineering
dc.subjectComputer science
dc.subjectComputer networks and communications
dc.subjectHardware
dc.titleReconfigurable intelligent surface identification in mobile networks: opportunities and challenges
dc.typeJournal Article
dspace.entity.typePublication

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