{"title":"混合衰落信道下认知中继网络中终端用户移动的中断概率","authors":"Lama N. Ibrahem, M. Khodeir, M. Al-Mistarihi","doi":"10.1109/IACS.2017.7921987","DOIUrl":null,"url":null,"abstract":"In this paper, an upper bound expression of the outage probability (OP) under interference power constraint is derived for cognitive amplify-and-forward (AF) relay network with best relay selection (BRS) scheme. In the proposed model, the destination moves at high speed, more than 100km/h and the channels that connected with destination are modeled as Nakagami-m fading channels, m < 1 whereas the other communication links are modeled by Rayleigh distribution. Analytical results are presented to evaluate the impact of the number of secondary relays, primary user (PU) location, and the severity parameter m on the performance of the cognitive relay network. Analytical results show that the Nakagami-m fading model can more accurately model conditions in vehicular environment.","PeriodicalId":180504,"journal":{"name":"2017 8th International Conference on Information and Communication Systems (ICICS)","volume":"420 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Outage probability for end user mobile in cognitive relay networks over mixed fading channels\",\"authors\":\"Lama N. Ibrahem, M. Khodeir, M. Al-Mistarihi\",\"doi\":\"10.1109/IACS.2017.7921987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an upper bound expression of the outage probability (OP) under interference power constraint is derived for cognitive amplify-and-forward (AF) relay network with best relay selection (BRS) scheme. In the proposed model, the destination moves at high speed, more than 100km/h and the channels that connected with destination are modeled as Nakagami-m fading channels, m < 1 whereas the other communication links are modeled by Rayleigh distribution. Analytical results are presented to evaluate the impact of the number of secondary relays, primary user (PU) location, and the severity parameter m on the performance of the cognitive relay network. Analytical results show that the Nakagami-m fading model can more accurately model conditions in vehicular environment.\",\"PeriodicalId\":180504,\"journal\":{\"name\":\"2017 8th International Conference on Information and Communication Systems (ICICS)\",\"volume\":\"420 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 8th International Conference on Information and Communication Systems (ICICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IACS.2017.7921987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th International Conference on Information and Communication Systems (ICICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACS.2017.7921987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Outage probability for end user mobile in cognitive relay networks over mixed fading channels
In this paper, an upper bound expression of the outage probability (OP) under interference power constraint is derived for cognitive amplify-and-forward (AF) relay network with best relay selection (BRS) scheme. In the proposed model, the destination moves at high speed, more than 100km/h and the channels that connected with destination are modeled as Nakagami-m fading channels, m < 1 whereas the other communication links are modeled by Rayleigh distribution. Analytical results are presented to evaluate the impact of the number of secondary relays, primary user (PU) location, and the severity parameter m on the performance of the cognitive relay network. Analytical results show that the Nakagami-m fading model can more accurately model conditions in vehicular environment.