Noma-Based Radio Resource Allocation for Machine Type Communications in 5g and Beyond Cellular Networks

dc.authorwosid Okumuş, Furkan/HJB-2548-2022
dc.contributor.author Aldemir, Sumeyra
dc.contributor.author Şadi, Yalçın
dc.contributor.author Sadi, Yalcin
dc.contributor.author Erküçük, Serhat
dc.contributor.author Erkucuk, Serhat
dc.contributor.author Okumus, F. Batuhan
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2023-10-19T15:11:48Z
dc.date.available 2023-10-19T15:11:48Z
dc.date.issued 2021
dc.department-temp [Aldemir, Sumeyra; Sadi, Yalcin; Erkucuk, Serhat; Okumus, F. Batuhan] Kadir Has Univ, Elekt & Elekt Muhendisligi Bolumu, Istanbul, Turkey en_US
dc.description 29th IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUN 09-11, 2021 -- ELECTR NETWORK en_US
dc.description.abstract In this paper, the minimum bandwidth resource allocation problem for non-orthogonal multiple access (NOMA) based machine to machine (M2M) communications in 5G and beyond cellular networks is investigated. In order to solve the problem fast and efficiently, a persistent resource allocation based polynomial-time algorithm considering NOMA and the periodicity of the machine type communication traffic is proposed. The algorithm consists of two phases. In first phase, M2M clusters are divided into NOMA sub-clusters using a technique that minimizes the number of NOMA sub-clusters for a set of devices. In second phase, NOMA sub-clusters are allocated to resource blocks (RB) considering their quality of service (QoS) requirements while achieving minimum bandwidth reservation. Through simulations, the performance of the proposed algorithm is presented in comparison to the previously proposed access grant time interval (AGTI) based radio resource allocation algorithms. It is illustrated that the proposed algorithm improves the spectrum-efficiency significantly. en_US
dc.description.sponsorship IEEE,IEEE Turkey Sect en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1109/SIU53274.2021.9477699 en_US
dc.identifier.isbn 978-1-6654-3649-6
dc.identifier.scopus 2-s2.0-85111408460 en_US
dc.identifier.uri https://doi.org/10.1109/SIU53274.2021.9477699
dc.identifier.uri https://hdl.handle.net/20.500.12469/5229
dc.identifier.wos WOS:000808100700003 en_US
dc.khas 20231019-WoS en_US
dc.language.iso tr en_US
dc.publisher IEEE en_US
dc.relation.ispartof 29th Ieee Conference on Signal Processing and Communications Applications (Siu 2021) en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 3
dc.subject machine-to-machine communications en_US
dc.subject NOMA en_US
dc.subject Access
dc.subject 5G and beyond cellular networks en_US
dc.subject Access En_Us
dc.subject resource allocation en_US
dc.title Noma-Based Radio Resource Allocation for Machine Type Communications in 5g and Beyond Cellular Networks en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 1
dspace.entity.type Publication
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