{"title":"对数正态过程衰落区间分布的近似解","authors":"N. Youssef, M. Pätzold, Kun Yang","doi":"10.1109/ISWCS.2007.4392331","DOIUrl":null,"url":null,"abstract":"In this paper, we derive two approximate solutions for the probability density function (PDF) of lognormal shadow fading intervals at deep fading levels. The first approximate solution is based on the Rice probability function, while the second one is deduced from the asymptotic behavior analysis of lognormal processes. Based on the latter approximate solution, expressions for the average as well as the variance of fading intervals are also provided. The validity of the analytical solutions is verified by computer simulations obtained for different propagation environments.","PeriodicalId":261480,"journal":{"name":"2007 4th International Symposium on Wireless Communication Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Approximate Solutions to the Distribution of the Fading Intervals of Lognormal Processes\",\"authors\":\"N. Youssef, M. Pätzold, Kun Yang\",\"doi\":\"10.1109/ISWCS.2007.4392331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we derive two approximate solutions for the probability density function (PDF) of lognormal shadow fading intervals at deep fading levels. The first approximate solution is based on the Rice probability function, while the second one is deduced from the asymptotic behavior analysis of lognormal processes. Based on the latter approximate solution, expressions for the average as well as the variance of fading intervals are also provided. The validity of the analytical solutions is verified by computer simulations obtained for different propagation environments.\",\"PeriodicalId\":261480,\"journal\":{\"name\":\"2007 4th International Symposium on Wireless Communication Systems\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 4th International Symposium on Wireless Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2007.4392331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 4th International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2007.4392331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Approximate Solutions to the Distribution of the Fading Intervals of Lognormal Processes
In this paper, we derive two approximate solutions for the probability density function (PDF) of lognormal shadow fading intervals at deep fading levels. The first approximate solution is based on the Rice probability function, while the second one is deduced from the asymptotic behavior analysis of lognormal processes. Based on the latter approximate solution, expressions for the average as well as the variance of fading intervals are also provided. The validity of the analytical solutions is verified by computer simulations obtained for different propagation environments.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
