{"title":"基于扩展G/M/1排队模型的基站休眠控制与功率匹配分析","authors":"Jian Wu, Sheng Zhou, Z. Niu","doi":"10.1109/ICTC.2014.6983073","DOIUrl":null,"url":null,"abstract":"This paper investigates the base station (BS) sleeping control and power matching using an extended G/M/1 queueing model with adjustable service rate, considering the general traffic arrival process. Besides the common Poisson arrival traffic model, some bursty traffic models, e.g. the Interrupted Poisson Process (IPP) and the On-Off Process, are also taken into account. The total power consumption and delay performance are analyzed. Especially, for the bursty traffic model, we explore the impact of traffic burstiness on the total power consumption and delay performance. Moreover, based on the delay tail distribution analysis, the delay-constrained total power minimization problem is solved, which provides the optimal energy-delay tradeoff performance.","PeriodicalId":299228,"journal":{"name":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Base station sleeping control and power matching analysis using extended G/M/1 queueing model\",\"authors\":\"Jian Wu, Sheng Zhou, Z. Niu\",\"doi\":\"10.1109/ICTC.2014.6983073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the base station (BS) sleeping control and power matching using an extended G/M/1 queueing model with adjustable service rate, considering the general traffic arrival process. Besides the common Poisson arrival traffic model, some bursty traffic models, e.g. the Interrupted Poisson Process (IPP) and the On-Off Process, are also taken into account. The total power consumption and delay performance are analyzed. Especially, for the bursty traffic model, we explore the impact of traffic burstiness on the total power consumption and delay performance. Moreover, based on the delay tail distribution analysis, the delay-constrained total power minimization problem is solved, which provides the optimal energy-delay tradeoff performance.\",\"PeriodicalId\":299228,\"journal\":{\"name\":\"2014 International Conference on Information and Communication Technology Convergence (ICTC)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Information and Communication Technology Convergence (ICTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTC.2014.6983073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC.2014.6983073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Base station sleeping control and power matching analysis using extended G/M/1 queueing model
This paper investigates the base station (BS) sleeping control and power matching using an extended G/M/1 queueing model with adjustable service rate, considering the general traffic arrival process. Besides the common Poisson arrival traffic model, some bursty traffic models, e.g. the Interrupted Poisson Process (IPP) and the On-Off Process, are also taken into account. The total power consumption and delay performance are analyzed. Especially, for the bursty traffic model, we explore the impact of traffic burstiness on the total power consumption and delay performance. Moreover, based on the delay tail distribution analysis, the delay-constrained total power minimization problem is solved, which provides the optimal energy-delay tradeoff performance.