{"title":"蜂窝移动通信网络信号干扰比的随机建模","authors":"D. Huo","doi":"10.1109/SCVT.1994.574166","DOIUrl":null,"url":null,"abstract":"The carrier-to-interference ratio is studied as a stochastical variable, whose randomness results from the disturbance of the wave propagation and the fluctuation of the traffic. The mean value and variance for this random quantity are derived, and, as an example, distribution functions are calculated for a TDMA system. The result yields means to determine the capacity hidden in the system dynamics and to optimize the utilization of the available resource.","PeriodicalId":236384,"journal":{"name":"IEEE Second Symposium on Communications and Vehicular Technology in the Benelux","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stochastical modeling of signal-to-interference ratio in cellular mobile communication networks\",\"authors\":\"D. Huo\",\"doi\":\"10.1109/SCVT.1994.574166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The carrier-to-interference ratio is studied as a stochastical variable, whose randomness results from the disturbance of the wave propagation and the fluctuation of the traffic. The mean value and variance for this random quantity are derived, and, as an example, distribution functions are calculated for a TDMA system. The result yields means to determine the capacity hidden in the system dynamics and to optimize the utilization of the available resource.\",\"PeriodicalId\":236384,\"journal\":{\"name\":\"IEEE Second Symposium on Communications and Vehicular Technology in the Benelux\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Second Symposium on Communications and Vehicular Technology in the Benelux\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCVT.1994.574166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Second Symposium on Communications and Vehicular Technology in the Benelux","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCVT.1994.574166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastical modeling of signal-to-interference ratio in cellular mobile communication networks
The carrier-to-interference ratio is studied as a stochastical variable, whose randomness results from the disturbance of the wave propagation and the fluctuation of the traffic. The mean value and variance for this random quantity are derived, and, as an example, distribution functions are calculated for a TDMA system. The result yields means to determine the capacity hidden in the system dynamics and to optimize the utilization of the available resource.