T. Vu, Lei Lei, Satyanarayana Vuppala, S. Chatzinotas, B. Ottersten
{"title":"容延迟内容交付网络的节能设计","authors":"T. Vu, Lei Lei, Satyanarayana Vuppala, S. Chatzinotas, B. Ottersten","doi":"10.1109/WCNCW.2018.8369037","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the energy efficiency performance of content delivery networks in which a data center serves multiple users via a shared wireless medium. Focusing on latency-tolerant applications, we propose energy-efficient precoding design and optimization that minimize the total energy consumption while guaranteeing some given quality of service constraints. In particular, an energy-buffering time trade-off (EBT) is derived in a closed-form expression for single-user scenarios, which reveals the impact of the key system parameters on the total energy consumption. We then formulate an energy minimization problem with a minimum mean square error (MMSE)-based precoding design for multiple-user scenarios. In order to overcome the non-convexity of the formulated problem, we propose an iterative algorithm which solves the problem suboptimally via a linear approximation of the non-convex constraint. Finally, numerical results are presented to demonstrate the effectiveness of the proposed solution.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy-efficient design for latency-tolerant content delivery networks\",\"authors\":\"T. Vu, Lei Lei, Satyanarayana Vuppala, S. Chatzinotas, B. Ottersten\",\"doi\":\"10.1109/WCNCW.2018.8369037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the energy efficiency performance of content delivery networks in which a data center serves multiple users via a shared wireless medium. Focusing on latency-tolerant applications, we propose energy-efficient precoding design and optimization that minimize the total energy consumption while guaranteeing some given quality of service constraints. In particular, an energy-buffering time trade-off (EBT) is derived in a closed-form expression for single-user scenarios, which reveals the impact of the key system parameters on the total energy consumption. We then formulate an energy minimization problem with a minimum mean square error (MMSE)-based precoding design for multiple-user scenarios. In order to overcome the non-convexity of the formulated problem, we propose an iterative algorithm which solves the problem suboptimally via a linear approximation of the non-convex constraint. Finally, numerical results are presented to demonstrate the effectiveness of the proposed solution.\",\"PeriodicalId\":122391,\"journal\":{\"name\":\"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCNCW.2018.8369037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNCW.2018.8369037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy-efficient design for latency-tolerant content delivery networks
In this paper, we investigate the energy efficiency performance of content delivery networks in which a data center serves multiple users via a shared wireless medium. Focusing on latency-tolerant applications, we propose energy-efficient precoding design and optimization that minimize the total energy consumption while guaranteeing some given quality of service constraints. In particular, an energy-buffering time trade-off (EBT) is derived in a closed-form expression for single-user scenarios, which reveals the impact of the key system parameters on the total energy consumption. We then formulate an energy minimization problem with a minimum mean square error (MMSE)-based precoding design for multiple-user scenarios. In order to overcome the non-convexity of the formulated problem, we propose an iterative algorithm which solves the problem suboptimally via a linear approximation of the non-convex constraint. Finally, numerical results are presented to demonstrate the effectiveness of the proposed solution.