{"title":"Multiuser detection for MC-CDMA system with M-QAM using semidefinite programming relaxation","authors":"X. Wang, Zhiwei Mao","doi":"10.1109/PACRIM.2005.1517343","DOIUrl":null,"url":null,"abstract":"A multiuser detector based on semidefinite programming (SDP) is proposed for multicarrier code-division multiple-access (MC-CDMA) systems with M-ary quadrature amplitude modulation (M-QAM). It is shown that maximum likelihood (ML) detection can be carried out by 'relaxing' the associated integer programming problem to a SDP problem, which leads to a detector of much reduced complexity. Computer simulations demonstrate that the proposed detector offers a symbol-error rate (SER) performance which outperforms existing suboptimal detectors, and the computational complexity of the proposed detector is considerably reduced compared with that of ML detector.","PeriodicalId":346880,"journal":{"name":"PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.","volume":"32 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2005.1517343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A multiuser detector based on semidefinite programming (SDP) is proposed for multicarrier code-division multiple-access (MC-CDMA) systems with M-ary quadrature amplitude modulation (M-QAM). It is shown that maximum likelihood (ML) detection can be carried out by 'relaxing' the associated integer programming problem to a SDP problem, which leads to a detector of much reduced complexity. Computer simulations demonstrate that the proposed detector offers a symbol-error rate (SER) performance which outperforms existing suboptimal detectors, and the computational complexity of the proposed detector is considerably reduced compared with that of ML detector.