A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things

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dc.authoridSeyed Salar Sefati / 0000-0002-7208-3576
dc.authoridAsim Ul Haq / 0000-0002-2964-9984
dc.authoridNidhi / 0000-0001-9814-2725
dc.authoridRazvan Craciunescu / 0000-0003-0060-3306
dc.authoridSimona Halunga / 0000-0001-7028-3921
dc.authoridAlbena Mihovska / 0000-0002-3105-8593
dc.authoridOctavian Fratu / 0000-0001-5679-9307
dc.authorscopusidSeyed Salar Sefati / 57222602957
dc.authorwosidSeyed Salar Sefati / AAU-2556-2021
dc.contributor.authorSefati, Seyed Salar
dc.contributor.authorHaq, Asim Ul
dc.contributor.authorNidhi
dc.contributor.authorCraciunescu, Razvan
dc.contributor.authorHalunga, Simona
dc.contributor.authorMihovska, Albena
dc.contributor.authorFratu, Octavian
dc.date.accessioned2025-04-18T08:15:10Z
dc.date.available2025-04-18T08:15:10Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractThe transition to 6th Generation (6G) cellular networks offers significant improvements over 5th Generation (5G), enhancing data transfer, reducing latency, and improving network reliability. Advanced Multiple-Input Multiple-Output (MIMO) technology in 6G boosts network efficiency, particularly benefiting Ultra-Reliable Low-Latency Communications (URLLC). This paper reviews literature on resource management in the Internet of Things (IoT) within the 6G context. We categorize the study into four segments: network-aware resource management, dynamic resource allocation, predictive resource distribution based on traffic and architecture, and energy-centric resource allocation considering IoT device mobility and location. We provide a detailed perspective on current research and highlight future research avenues. Key contributions include a comparative study of IoT resource management techniques, an overview of resource management across LTE, 5G, and 6G networks, insights into applications like Intelligent Transportation Systems (ITS), Industrial IoT (IIoT), and Mobile CrowdSensing (MCS), and an emphasis on upcoming challenges. We emphasize the crucial role of efficient resource management in IoT, particularly in the 6G landscape. © 2013 IEEE.
dc.identifier.citationSefati, S. S., Haq, A. U., Craciunescu, R., Halunga, S., Mihovska, A., & Fratu, O. (2024). A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things. IEEE Access.
dc.identifier.doi10.1109/ACCESS.2024.3444313
dc.identifier.endpage113784
dc.identifier.issn21693536
dc.identifier.scopus2-s2.0-85201614660
dc.identifier.scopusqualityQ1
dc.identifier.startpage113741
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2024.3444313
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6534
dc.identifier.volume12
dc.identifier.wosWOS:001297405300001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.institutionauthorSefati, Seyed Salar
dc.institutionauthoridSeyed Salar Sefati / 0000-0002-7208-3576
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE Access
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject6G Network
dc.subjectInternet of Things
dc.subjectQuality of Service (QoS)
dc.subjectResource Management
dc.subjectSurvey
dc.titleA Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things
dc.typeArticle

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