Jeyakanth Krishnan, Venkatakrishnan Perumalsamy, C. Chinnasamy, Dhivya Udhayasuriyan
{"title":"Spectrum and Power Allocation Scheme Using HoDEPSO-RP Approach for Cognitive Radio Network","authors":"Jeyakanth Krishnan, Venkatakrishnan Perumalsamy, C. Chinnasamy, Dhivya Udhayasuriyan","doi":"10.1109/ICNWC57852.2023.10127408","DOIUrl":null,"url":null,"abstract":"In this research work, an evolutionary development approach is introduced for channel assignment in CRNs. These approaches are divine by some kind of adoptive development approach. In this proposed methodology, we utilized PSO with DE technique. It effectively maximize the throughput of CN while gratifying interference constraints of both primary and secondary users in network. It also solves the joint spectrum and power allocation problem in CRNs. In addition, a repair process is involved to ignore conflicts with secondary users to enhance spectrum in CRNs. The resulting algorithm is known as Hybridization of Differential Evolution based Particle Swarm optimization with repair process (HoDEPSO-RP). The performance analysis of this proposed HoDEPSO-RP is estimated by simulation techniques. This proposed work provides better performance result when compared with other existing algorithms.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Networking and Communications (ICNWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNWC57852.2023.10127408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this research work, an evolutionary development approach is introduced for channel assignment in CRNs. These approaches are divine by some kind of adoptive development approach. In this proposed methodology, we utilized PSO with DE technique. It effectively maximize the throughput of CN while gratifying interference constraints of both primary and secondary users in network. It also solves the joint spectrum and power allocation problem in CRNs. In addition, a repair process is involved to ignore conflicts with secondary users to enhance spectrum in CRNs. The resulting algorithm is known as Hybridization of Differential Evolution based Particle Swarm optimization with repair process (HoDEPSO-RP). The performance analysis of this proposed HoDEPSO-RP is estimated by simulation techniques. This proposed work provides better performance result when compared with other existing algorithms.