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dc.contributor.author Rehman, Waheed Ur -
dc.contributor.author Salam, Tabinda -
dc.contributor.author Almogren, Ahmad -
dc.contributor.author Haseeb, Khalid -
dc.contributor.author Din, Ikram Ud -
dc.contributor.author Bouk, Safdar Hussain -
dc.date.accessioned 2020-05-12T01:19:30Z -
dc.date.available 2020-05-12T01:19:30Z -
dc.date.created 2020-04-13 -
dc.date.issued 2020-02 -
dc.identifier.citation IEEE Access, v.8, pp.49187 - 49197 -
dc.identifier.issn 2169-3536 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/11789 -
dc.description.abstract Effective resource allocation has always been one of the serious challenges in wireless communication. A considerable number of machine type communication (MTC) devices in 5G with variable quality of service (QoS) aggravates this challenge even further. Existing Resource allocation schemes in MTC are usually considering signal to noise ratio (SNR), which provides preference to MTC devices based on distance rather than their QoS requirements. This paper proposes a resource allocation scheme with dynamic priorities for MTC devices with multiple radio access technologies (RATs). The proposed resource allocation scheme has two main parts namely medium access and resource allocation. The medium access leverages the broadcast nature of wireless signal and MTC devices' wait time to assign priorities using capillary band in a secure and integral way. At resource allocation, SNR, total induced transmission delay, and transmission-Awaiting MTC devices are used to assign resources in the cellular band. The rumination of two-staged dynamic priorities in the proposed scheduling scheme brings significant performance improvements in outage and success probabilities. Compared to SNR-based schemes, the proposed mechanism performs well by expressively improving the outage and success probability by 20% and 30%, respectively. -
dc.language English -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Improved Resource Allocation in 5G MTC Networks -
dc.type Article -
dc.identifier.doi 10.1109/ACCESS.2020.2974632 -
dc.identifier.wosid 000524732400005 -
dc.identifier.scopusid 2-s2.0-85082455341 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname IEEE Access -
dc.contributor.nonIdAuthor Rehman, Waheed Ur -
dc.contributor.nonIdAuthor Salam, Tabinda -
dc.contributor.nonIdAuthor Almogren, Ahmad -
dc.contributor.nonIdAuthor Haseeb, Khalid -
dc.contributor.nonIdAuthor Din, Ikram Ud -
dc.contributor.nonIdAuthor Bouk, Safdar Hussain -
dc.identifier.citationVolume 8 -
dc.identifier.citationStartPage 49187 -
dc.identifier.citationEndPage 49197 -
dc.identifier.citationTitle IEEE Access -
dc.type.journalArticle Article -
dc.description.isOpenAccess Y -
dc.subject.keywordAuthor Resource management -
dc.subject.keywordAuthor Signal to noise ratio -
dc.subject.keywordAuthor Quality of service -
dc.subject.keywordAuthor Dynamic scheduling -
dc.subject.keywordAuthor Performance evaluation -
dc.subject.keywordAuthor Security -
dc.subject.keywordAuthor Delays -
dc.subject.keywordAuthor Integrity -
dc.subject.keywordAuthor resource allocation -
dc.subject.keywordAuthor dynamic priorities -
dc.subject.keywordAuthor MTC -
dc.subject.keywordAuthor massive M2M -
dc.subject.keywordAuthor multi-RATs -
dc.subject.keywordAuthor security -
dc.subject.keywordPlus MACHINE-TO-MACHINE -
dc.subject.keywordPlus DATA AGGREGATION -
dc.subject.keywordPlus RANDOM-ACCESS -
dc.subject.keywordPlus COMMUNICATION -
dc.subject.keywordPlus SCHEME -
dc.contributor.affiliatedAuthor Rehman, Waheed Ur -
dc.contributor.affiliatedAuthor Salam, Tabinda -
dc.contributor.affiliatedAuthor Almogren, Ahmad -
dc.contributor.affiliatedAuthor Haseeb, Khalid -
dc.contributor.affiliatedAuthor Din, Ikram Ud -
dc.contributor.affiliatedAuthor Bouk, Safdar Hussain -
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