{"title":"用于多跳无线网络性能分析的串列队列模型","authors":"L. Le, A. Nguyen, E. Hossain","doi":"10.1109/WCNC.2007.552","DOIUrl":null,"url":null,"abstract":"We present a tandem queueing model for performance analysis and engineering of multihop wireless networks. To solve the queueing model, a direct (or exact) method and a decomposition method are proposed. The proposed decomposition method reduces the computational complexity significantly which requires us to solve L single queues instead of a full tandem system of L queues. The tandem queue model captures a batch arrival process and multi-rate transmission achieved by adaptive modulation and coding. We obtain the queue length distribution and derive all end-to-end performance measures including loss probability, average delay. The proposed decomposition approach is validated and some interesting insights into the system performance and guidelines for system design are highlighted.","PeriodicalId":292621,"journal":{"name":"2007 IEEE Wireless Communications and Networking Conference","volume":"221 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A Tandem Queue Model for Performance Analysis in Multihop Wireless Networks\",\"authors\":\"L. Le, A. Nguyen, E. Hossain\",\"doi\":\"10.1109/WCNC.2007.552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a tandem queueing model for performance analysis and engineering of multihop wireless networks. To solve the queueing model, a direct (or exact) method and a decomposition method are proposed. The proposed decomposition method reduces the computational complexity significantly which requires us to solve L single queues instead of a full tandem system of L queues. The tandem queue model captures a batch arrival process and multi-rate transmission achieved by adaptive modulation and coding. We obtain the queue length distribution and derive all end-to-end performance measures including loss probability, average delay. The proposed decomposition approach is validated and some interesting insights into the system performance and guidelines for system design are highlighted.\",\"PeriodicalId\":292621,\"journal\":{\"name\":\"2007 IEEE Wireless Communications and Networking Conference\",\"volume\":\"221 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Wireless Communications and Networking Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCNC.2007.552\",\"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 IEEE Wireless Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNC.2007.552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Tandem Queue Model for Performance Analysis in Multihop Wireless Networks
We present a tandem queueing model for performance analysis and engineering of multihop wireless networks. To solve the queueing model, a direct (or exact) method and a decomposition method are proposed. The proposed decomposition method reduces the computational complexity significantly which requires us to solve L single queues instead of a full tandem system of L queues. The tandem queue model captures a batch arrival process and multi-rate transmission achieved by adaptive modulation and coding. We obtain the queue length distribution and derive all end-to-end performance measures including loss probability, average delay. The proposed decomposition approach is validated and some interesting insights into the system performance and guidelines for system design are highlighted.