{"title":"一种优化CDMA容量区域的最大最小公平方法","authors":"A. Kapur, M. Varanasi","doi":"10.1109/ISIT.2004.1365472","DOIUrl":null,"url":null,"abstract":"The max-min fairness idea is applied to optimize the CDMA capacity region. For any given signal set, a fair rate-allocation algorithm is specified. The notion of fair capacity is introduced and a signal design algorithm is proposed that produces signal sets with near-maximum fair capacity under (a) optimum decoding and (b) suboptimal decoding based on MMSE filtering and successive decoding, when there is sufficient bandwidth.","PeriodicalId":269907,"journal":{"name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A max-min fair approach to optimize the CDMA capacity region\",\"authors\":\"A. Kapur, M. Varanasi\",\"doi\":\"10.1109/ISIT.2004.1365472\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The max-min fairness idea is applied to optimize the CDMA capacity region. For any given signal set, a fair rate-allocation algorithm is specified. The notion of fair capacity is introduced and a signal design algorithm is proposed that produces signal sets with near-maximum fair capacity under (a) optimum decoding and (b) suboptimal decoding based on MMSE filtering and successive decoding, when there is sufficient bandwidth.\",\"PeriodicalId\":269907,\"journal\":{\"name\":\"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2004.1365472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2004.1365472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A max-min fair approach to optimize the CDMA capacity region
The max-min fairness idea is applied to optimize the CDMA capacity region. For any given signal set, a fair rate-allocation algorithm is specified. The notion of fair capacity is introduced and a signal design algorithm is proposed that produces signal sets with near-maximum fair capacity under (a) optimum decoding and (b) suboptimal decoding based on MMSE filtering and successive decoding, when there is sufficient bandwidth.
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