{"title":"以用户为中心的无线电力传输分布式天线系统的能源效率","authors":"Yuwen Huang, Yuan Liu","doi":"10.1109/GLOCOMW.2018.8644275","DOIUrl":null,"url":null,"abstract":"In this paper, we study energy-efficient resource allocation in distributed antenna system (DAS) with wireless power transfer, where time-division multiple access (TDMA) is adopted for downlink multiuser information transmission. In particular, when a user is scheduled to receive information, other users harvest energy at the same time using the same signal. We consider the user-centric energy efficiency (UC-EE) as our performance metric, which has the sum-of-ratios structure and thus is nonconvex. We transform the nonconvex problem into an equivalently tractable problem by using suitable mathematical tools and then develop an iterative algorithm to find the globally optimal solution. Simulation results demonstrate the superiority of the proposed method compared with the benchmark schemes.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"54 22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"User-Centric Energy Efficiency of Distributed Antenna Systems with Wireless Power Transfer\",\"authors\":\"Yuwen Huang, Yuan Liu\",\"doi\":\"10.1109/GLOCOMW.2018.8644275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we study energy-efficient resource allocation in distributed antenna system (DAS) with wireless power transfer, where time-division multiple access (TDMA) is adopted for downlink multiuser information transmission. In particular, when a user is scheduled to receive information, other users harvest energy at the same time using the same signal. We consider the user-centric energy efficiency (UC-EE) as our performance metric, which has the sum-of-ratios structure and thus is nonconvex. We transform the nonconvex problem into an equivalently tractable problem by using suitable mathematical tools and then develop an iterative algorithm to find the globally optimal solution. Simulation results demonstrate the superiority of the proposed method compared with the benchmark schemes.\",\"PeriodicalId\":348924,\"journal\":{\"name\":\"2018 IEEE Globecom Workshops (GC Wkshps)\",\"volume\":\"54 22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Globecom Workshops (GC Wkshps)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOCOMW.2018.8644275\",\"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 Globecom Workshops (GC Wkshps)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOMW.2018.8644275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
User-Centric Energy Efficiency of Distributed Antenna Systems with Wireless Power Transfer
In this paper, we study energy-efficient resource allocation in distributed antenna system (DAS) with wireless power transfer, where time-division multiple access (TDMA) is adopted for downlink multiuser information transmission. In particular, when a user is scheduled to receive information, other users harvest energy at the same time using the same signal. We consider the user-centric energy efficiency (UC-EE) as our performance metric, which has the sum-of-ratios structure and thus is nonconvex. We transform the nonconvex problem into an equivalently tractable problem by using suitable mathematical tools and then develop an iterative algorithm to find the globally optimal solution. Simulation results demonstrate the superiority of the proposed method compared with the benchmark schemes.