{"title":"Multiuser Detection in DS-CDMA Using Hybrid Evolutionary Strategy","authors":"Mehtaz Sharmin, C. Tellambura","doi":"10.1109/CCECE.2007.156","DOIUrl":null,"url":null,"abstract":"A hybrid Evolutionary Algorithm is presented in this paper for multiuser detection in a synchronous direct sequence code-division multiple access (DS-CDMA) system, which explores the application of Evolutionary algorithm (EA). The algorithm employs a (1 + lambda) Evolutionary Strategy (ES) for the basic search, which directs the search process towards an elitist solution space. A simple 1-opt local search is applied for thorough search in the elitist region. Simulation results demonstrate the efficacy of the proposed algorithm as this approach offers near optimal bit-error rate (BER) performance with lower computational complexity compared to the maximum-likelihood (ML) detector for a large number of users.","PeriodicalId":183910,"journal":{"name":"2007 Canadian Conference on Electrical and Computer Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Canadian Conference on Electrical and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2007.156","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
A hybrid Evolutionary Algorithm is presented in this paper for multiuser detection in a synchronous direct sequence code-division multiple access (DS-CDMA) system, which explores the application of Evolutionary algorithm (EA). The algorithm employs a (1 + lambda) Evolutionary Strategy (ES) for the basic search, which directs the search process towards an elitist solution space. A simple 1-opt local search is applied for thorough search in the elitist region. Simulation results demonstrate the efficacy of the proposed algorithm as this approach offers near optimal bit-error rate (BER) performance with lower computational complexity compared to the maximum-likelihood (ML) detector for a large number of users.