Cooperative spectrum sensing optimization for cognitive radio in 6 G networks

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dc.authoridDhiman, Gaurav/0000-0002-6343-5197
dc.authoridYadav, Piyush/0000-0002-7679-7795
dc.authoridSingh, Krishna Kant/0000-0002-6510-6768
dc.authoridCengiz, Korhan/0000-0001-6594-8861
dc.authoridSingh, Akansha/0000-0002-5520-8066
dc.authorwosidDhiman, Gaurav/AAP-6925-2020
dc.authorwosidYadav, Piyush/W-5922-2019
dc.authorwosidSingh, Krishna Kant/V-3003-2019
dc.authorwosidCengiz, Korhan/HTN-8060-2023
dc.authorwosidSingh, Akansha/W-4033-2019
dc.contributor.authorSingh, Krishna Kant
dc.contributor.authorYadav, Piyush
dc.contributor.authorSingh, Akansha
dc.contributor.authorDhiman, Gaurav
dc.contributor.authorCengiz, Korhan
dc.date.accessioned2024-06-12T11:09:36Z
dc.date.available2024-06-12T11:09:36Z
dc.date.issued2021
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThe upcoming sixth generation (6 G) systems can meet the high user demands. The existing communication systems are becoming inefficient in meeting the user demands. The multifold growth in the usage of high-definition multimedia applications requires new capabilities. The users are looking forward to high throughput and low latency. The shift from 5 G to 6 G networks is since the 6 G networks are expected to combine the terrestrial, aerial, and maritime communications into a robust network. This will provide the users a faster network with high reliability, accommodation to a larger number of users, and ultra-low latency. However, the limited availability of spectrum is a bottleneck in enhancing the user experience. Therefore, advanced techniques like cognitive radios and cooperative spectrum sensing are critical in the design of future network. The optimal usage and management of the available spectrum is significant for the performance of the network. In this paper, a cooperative spectrum sensing technique using Manta Ray Foraging Algorithm (MRFO) is proposed. The weighting vector at the fusion center is optimized using MRFO. The allocation of the spectrum is done using the optimal weight vector for secondary users. The proposed work aims at finding the maximum probability of detection. Probability of detection is significant in spectrum sensing. The channel needs to be sensed for the presence or absence of primary users. If the detection probability is maximized, then the channel usage efficiency will increase. The proposed method is compared with other state of the art methods. The results show that MRFO can be used efficiently for spectrum sharing by cognitive radios.en_US
dc.identifier.doi10.1016/j.compeleceng.2021.107378
dc.identifier.issn0045-7906
dc.identifier.issn1879-0755
dc.identifier.scopus2-s2.0-85114687762en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.compeleceng.2021.107378
dc.identifier.urihttps://hdl.handle.net/20.500.14551/22879
dc.identifier.volume95en_US
dc.identifier.wosWOS:000702826400015en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers & Electrical Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOoperative Spectrum Sensingen_US
dc.subjectManta Ray Foraging Optimization (MRFO)en_US
dc.subjectProbability Of Detectionen_US
dc.titleCooperative spectrum sensing optimization for cognitive radio in 6 G networksen_US
dc.typeArticleen_US

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