Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/8803
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dc.contributor.authorBalyan, Vipinen_US
dc.date.accessioned2023-02-08T08:55:17Z-
dc.date.available2023-02-08T08:55:17Z-
dc.date.issued2021-
dc.identifier.citationBalyan, V. 2021. Channel allocation with MIMO in cognitive radio network. Wireless Personal Communications, 116: 45–60. [https://doi.org/10.1007/s11277-020-07704-5]en_US
dc.identifier.issn1572-834X-
dc.identifier.issn0929-6212-
dc.identifier.urihttp://hdl.handle.net/11189/8803-
dc.description.abstractThe bulk volume and diverse data generated by Smart grid applications require use of Cognitive Radio (CR) technology for efcient handling. The CR technology proved out to be the most efcient technology which improves spectral utilization of any wireless network. The work in this paper is on the assignment of spectrum to the secondary users when primary user are not using. The work uses hybrid of CR and MIMO technology with clustering of gate ways, the channel allocation is done by taking real time environment in consideration. In this paper, three assignment schemes are proposed fair (F-MIMO) scheme, priority (P-MIMO) scheme and small clusters (CC-MIMO). The F-MIMO is used in low trafc condition, when all the HGWs sends the periodic data. The P-MIMO instead of reserving channels for priority user’s places non priority users in bufer in conditions when no vacant channel is available for priority users, this scheme is used in moderate trafc conditions. For the high trafc load, CC-MIMO provides priority and also borrows channels from nearby gate ways. The simulations are performed in three clusters. The simulations are done under moderate trafc using P-MIMO to compare utility of gateway with sensing bandwidth using diferent sensing costs. The proposed three schemes are compared in fairness and user rewards in both scenarios when borrowing is allowed and not allowed. The CC-MIMO performed optimal as compared to F-MIMO and P-MIMO which are comparable to other schemes in literature. The number of channel allocations and maximum sum reward are simulated with respect to the number of users in presence of priority users.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofWireless Personal Communicationsen_US
dc.subjectNetwork gatewaysen_US
dc.subjectCognitive radioen_US
dc.subjectSmart griden_US
dc.subjectAllocationen_US
dc.subjectSpectrum sensingen_US
dc.subjectSpectrum sharingen_US
dc.titleChannel allocation with MIMO in cognitive radio networken_US
dc.identifier.doihttps://doi.org/10.1007/s11277-020-07704-5-
dc.typeArticleen_US
Appears in Collections:Eng - Journal articles (DHET subsidised)
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