{"title":"DS/SSMA系统中用户间干扰分布的最大熵研究","authors":"P. V. Rooyen, F. Solms","doi":"10.1109/PIMRC.1995.477374","DOIUrl":null,"url":null,"abstract":"The Maximum Entropy (MaxEnt) method is used to evaluate the Inter User Interference (IUI) probability density function in a Direct Sequence Spread Spectrum Multiple Access (DS/SSMA) system. This distribution is frequently assumed to be Gaussian distributed and is commonly known as the Gaussian Assumption (GA). By calculating the discrimination information (relative entropy) between the IUI-distribution, as inferred via the MaxEnt method, and a Gaussian distribution with equal second moments the Gaussian Assumption is quantified for the Nakagami-m faded channel. By altering the parameter m of the Nakagami-m distribution, the degree of fading can be varied and therefore the influence of fading on the Gaussian Assumption can be thoroughly investigated.","PeriodicalId":433500,"journal":{"name":"Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Maximum entropy investigation of the inter user interference distribution in a DS/SSMA system\",\"authors\":\"P. V. Rooyen, F. Solms\",\"doi\":\"10.1109/PIMRC.1995.477374\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Maximum Entropy (MaxEnt) method is used to evaluate the Inter User Interference (IUI) probability density function in a Direct Sequence Spread Spectrum Multiple Access (DS/SSMA) system. This distribution is frequently assumed to be Gaussian distributed and is commonly known as the Gaussian Assumption (GA). By calculating the discrimination information (relative entropy) between the IUI-distribution, as inferred via the MaxEnt method, and a Gaussian distribution with equal second moments the Gaussian Assumption is quantified for the Nakagami-m faded channel. By altering the parameter m of the Nakagami-m distribution, the degree of fading can be varied and therefore the influence of fading on the Gaussian Assumption can be thoroughly investigated.\",\"PeriodicalId\":433500,\"journal\":{\"name\":\"Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIMRC.1995.477374\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.1995.477374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maximum entropy investigation of the inter user interference distribution in a DS/SSMA system
The Maximum Entropy (MaxEnt) method is used to evaluate the Inter User Interference (IUI) probability density function in a Direct Sequence Spread Spectrum Multiple Access (DS/SSMA) system. This distribution is frequently assumed to be Gaussian distributed and is commonly known as the Gaussian Assumption (GA). By calculating the discrimination information (relative entropy) between the IUI-distribution, as inferred via the MaxEnt method, and a Gaussian distribution with equal second moments the Gaussian Assumption is quantified for the Nakagami-m faded channel. By altering the parameter m of the Nakagami-m distribution, the degree of fading can be varied and therefore the influence of fading on the Gaussian Assumption can be thoroughly investigated.
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