{"title":"衰落无线信道中选择性重复ARQ的吞吐量分析","authors":"K. Ausavapattanakun, Aria Nosratinia","doi":"10.1109/ACSSC.2005.1599697","DOIUrl":null,"url":null,"abstract":"This work analyzes the throughput of selective repeat (SR) protocol in fading wireless channels. Hidden Markov models (HMM) provide a good approximation to the fading wireless channel, hut the calculation of SR throughput has been unavailable for channels characterized by HMM. We use a generalization of Mason's flow graphs with matrix weights for our analysis, leading to the moment generating function of the transmission lime, and thus calculating the throughput. Our methodology is general and can be applied for any finite-state Markov channels. It can also be used to analyze the delay of SR protocol","PeriodicalId":326489,"journal":{"name":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Throughput Analysis of Selective Repeat ARQ in Fading Wireless Channels\",\"authors\":\"K. Ausavapattanakun, Aria Nosratinia\",\"doi\":\"10.1109/ACSSC.2005.1599697\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work analyzes the throughput of selective repeat (SR) protocol in fading wireless channels. Hidden Markov models (HMM) provide a good approximation to the fading wireless channel, hut the calculation of SR throughput has been unavailable for channels characterized by HMM. We use a generalization of Mason's flow graphs with matrix weights for our analysis, leading to the moment generating function of the transmission lime, and thus calculating the throughput. Our methodology is general and can be applied for any finite-state Markov channels. It can also be used to analyze the delay of SR protocol\",\"PeriodicalId\":326489,\"journal\":{\"name\":\"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2005.1599697\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2005.1599697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Throughput Analysis of Selective Repeat ARQ in Fading Wireless Channels
This work analyzes the throughput of selective repeat (SR) protocol in fading wireless channels. Hidden Markov models (HMM) provide a good approximation to the fading wireless channel, hut the calculation of SR throughput has been unavailable for channels characterized by HMM. We use a generalization of Mason's flow graphs with matrix weights for our analysis, leading to the moment generating function of the transmission lime, and thus calculating the throughput. Our methodology is general and can be applied for any finite-state Markov channels. It can also be used to analyze the delay of SR protocol
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