{"title":"Sequence adaptation for interference reduction and capacity maximization in DS-CDMA systems","authors":"C. Sung, K. Leung","doi":"10.1109/PIMRC.2001.965424","DOIUrl":null,"url":null,"abstract":"The relation between interference reduction and capacity maximization in DS-CDMA systems is investigated. We show that the solution which minimizes the total weighted squared correlation (TWSC) happens to maximize the sum capacity of the system. Furthermore, we show that a distributed sequence adaptation algorithm based on the MMSE receiver reduces TWSC and increases sum capacity simultaneously at each iteration step. Simulation results show that the algorithm converges to the optimal solution.","PeriodicalId":318292,"journal":{"name":"12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598)","volume":"71 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2001.965424","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
The relation between interference reduction and capacity maximization in DS-CDMA systems is investigated. We show that the solution which minimizes the total weighted squared correlation (TWSC) happens to maximize the sum capacity of the system. Furthermore, we show that a distributed sequence adaptation algorithm based on the MMSE receiver reduces TWSC and increases sum capacity simultaneously at each iteration step. Simulation results show that the algorithm converges to the optimal solution.