Bingcheng Zhu, Julian Cheng, Jun Yan, Jinyuan Wang, Lenan Wu, Yongjin Wang
{"title":"A new technique for analyzing asymptotic outage performance of diversity over lognormal fading channels","authors":"Bingcheng Zhu, Julian Cheng, Jun Yan, Jinyuan Wang, Lenan Wu, Yongjin Wang","doi":"10.1109/CWIT.2017.7994815","DOIUrl":null,"url":null,"abstract":"Existing asymptotic analysis techniques fail to provide closed-form asymptotic outage probability expressions for lognormal fading channels due to the fact that lognormal fading channel distributions have an infinite diversity order. In this work, we develop a new analytical technique to study the asymptotic outage probability of maximum-ratio combining and equalgain combining over independent lognormal fading channels. The derived closed-form asymptotic expressions, which can be expressed in terms of the well-known Marcum-Q function, are accurate in high signal-to-noise ratio (SNR) regimes. The results reveal insights into the long-standing problem of asymptotic analyses for diversity systems over lognormal fading channels, and can help circumvent the time-consuming Monte Carlo simulation and numerical integration in large SNR region.","PeriodicalId":247812,"journal":{"name":"2017 15th Canadian Workshop on Information Theory (CWIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 15th Canadian Workshop on Information Theory (CWIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CWIT.2017.7994815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Existing asymptotic analysis techniques fail to provide closed-form asymptotic outage probability expressions for lognormal fading channels due to the fact that lognormal fading channel distributions have an infinite diversity order. In this work, we develop a new analytical technique to study the asymptotic outage probability of maximum-ratio combining and equalgain combining over independent lognormal fading channels. The derived closed-form asymptotic expressions, which can be expressed in terms of the well-known Marcum-Q function, are accurate in high signal-to-noise ratio (SNR) regimes. The results reveal insights into the long-standing problem of asymptotic analyses for diversity systems over lognormal fading channels, and can help circumvent the time-consuming Monte Carlo simulation and numerical integration in large SNR region.