{"title":"绿色认知无线网络的多睡眠模式节能分析","authors":"Jianping Liu, Shunfu Jin, Wuyi Yue","doi":"10.1145/3016032.3016039","DOIUrl":null,"url":null,"abstract":"In this paper, we examine the key issue of how to conserve the energy of base stations (BSs) in \"green\" Cognitive Radio Networks (CRNs). In order to meet the demand for more sustainable green communication, we introduce a multiple sleep mode for licensed channels in CRNs. Based on a dynamic spectrum access strategy with a proposed multiple sleep mode, we establish a continuous-time Markov Chain model to capture the stochastic behavior of secondary user (SU) and primary user (PU) packets. By using the matrix geometric solution method, we obtain the steady-state probability distribution for the system model. This document also presents analysis for performance evaluation in terms of the average latency of SU packets and the energy saving rate of the system.","PeriodicalId":269685,"journal":{"name":"Proceedings of the 11th International Conference on Queueing Theory and Network Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple Sleep Mode Analysis for Energy Conservation in Green Cognitive Radio Networks\",\"authors\":\"Jianping Liu, Shunfu Jin, Wuyi Yue\",\"doi\":\"10.1145/3016032.3016039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we examine the key issue of how to conserve the energy of base stations (BSs) in \\\"green\\\" Cognitive Radio Networks (CRNs). In order to meet the demand for more sustainable green communication, we introduce a multiple sleep mode for licensed channels in CRNs. Based on a dynamic spectrum access strategy with a proposed multiple sleep mode, we establish a continuous-time Markov Chain model to capture the stochastic behavior of secondary user (SU) and primary user (PU) packets. By using the matrix geometric solution method, we obtain the steady-state probability distribution for the system model. This document also presents analysis for performance evaluation in terms of the average latency of SU packets and the energy saving rate of the system.\",\"PeriodicalId\":269685,\"journal\":{\"name\":\"Proceedings of the 11th International Conference on Queueing Theory and Network Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 11th International Conference on Queueing Theory and Network Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3016032.3016039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th International Conference on Queueing Theory and Network Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3016032.3016039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple Sleep Mode Analysis for Energy Conservation in Green Cognitive Radio Networks
In this paper, we examine the key issue of how to conserve the energy of base stations (BSs) in "green" Cognitive Radio Networks (CRNs). In order to meet the demand for more sustainable green communication, we introduce a multiple sleep mode for licensed channels in CRNs. Based on a dynamic spectrum access strategy with a proposed multiple sleep mode, we establish a continuous-time Markov Chain model to capture the stochastic behavior of secondary user (SU) and primary user (PU) packets. By using the matrix geometric solution method, we obtain the steady-state probability distribution for the system model. This document also presents analysis for performance evaluation in terms of the average latency of SU packets and the energy saving rate of the system.