{"title":"BER performance evaluation of cognitive radio network using M-ary PSK over Rayleigh fading channel","authors":"K. Bilal, A. Mohamed","doi":"10.1109/ICPCSI.2017.8391914","DOIUrl":null,"url":null,"abstract":"Cognitive radio technology has come out to solve the problem of bandwidth scarcity by allowing the unlicensed users to use the licensed bands opportunistically. Spectrum sensing is the basic and essential mechanisms of Cognitive Radio to find the unused Spectrum. This paper, focus on the performance evaluation of energy detection spectrum sensing of cognitive radio network in term of bit error rate versus signal to noise ratio for M-ary phase shift keying modulation schemes, over Rayleigh fading channel and AWGN. The cognitive radio network was designed firstly as computer model showed the sequence of processes in cognitive radio system and then the simulation of cognitive radio network was performed using MATLAB simulation. The results show that as the number of Mary increase the bit error rate increased while the bit error rate decreased as the signal to noise ratio increased.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"9 42 1","pages":"109-112"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPCSI.2017.8391914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Cognitive radio technology has come out to solve the problem of bandwidth scarcity by allowing the unlicensed users to use the licensed bands opportunistically. Spectrum sensing is the basic and essential mechanisms of Cognitive Radio to find the unused Spectrum. This paper, focus on the performance evaluation of energy detection spectrum sensing of cognitive radio network in term of bit error rate versus signal to noise ratio for M-ary phase shift keying modulation schemes, over Rayleigh fading channel and AWGN. The cognitive radio network was designed firstly as computer model showed the sequence of processes in cognitive radio system and then the simulation of cognitive radio network was performed using MATLAB simulation. The results show that as the number of Mary increase the bit error rate increased while the bit error rate decreased as the signal to noise ratio increased.