{"title":"Outage probability for MMSE linear diversity in a non-Gaussian fading environment","authors":"N. Mekloi","doi":"10.1109/ISITA.2008.4895460","DOIUrl":null,"url":null,"abstract":"Minimum mean square error (MMSE), also know as optimum combining, is already mentioned to be good matched technique for suppressing the multipath fading and reducing the effect of co-channel interference (CCI) in wireless communications. It has been used for either Gaussian fading channels and non-Gaussian fading channels for different conditions and purposes. In this paper, the performance evaluation of wireless digital communication systems for linear minimum mean square error diversity is investigated. The approach of this paper and its main contribution is to model the non-Gaussian fading channel of wireless systems. A new expression of outage probability in a non-Gaussian fading environment is studied by modeling fading channel as a spherically invariant random process (SIRP). It assumed that the interferers have equal powers and their number is no less than the diversity order. Finally, some numerical results show the impact of the number of antenna elements, the number of interferers and noise.","PeriodicalId":338675,"journal":{"name":"2008 International Symposium on Information Theory and Its Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Information Theory and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITA.2008.4895460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Minimum mean square error (MMSE), also know as optimum combining, is already mentioned to be good matched technique for suppressing the multipath fading and reducing the effect of co-channel interference (CCI) in wireless communications. It has been used for either Gaussian fading channels and non-Gaussian fading channels for different conditions and purposes. In this paper, the performance evaluation of wireless digital communication systems for linear minimum mean square error diversity is investigated. The approach of this paper and its main contribution is to model the non-Gaussian fading channel of wireless systems. A new expression of outage probability in a non-Gaussian fading environment is studied by modeling fading channel as a spherically invariant random process (SIRP). It assumed that the interferers have equal powers and their number is no less than the diversity order. Finally, some numerical results show the impact of the number of antenna elements, the number of interferers and noise.