{"title":"支持无线电力传输的大规模MIMO系统的最大最小资源分配","authors":"Kunhao Huang, Zheng-qiang Wang, Xiaoyu Wan, Zi-fu Fan, Yongjun Xu","doi":"10.1109/ICCC47050.2019.9064297","DOIUrl":null,"url":null,"abstract":"This paper investigates the resource allocation algorithm to maximize the minimum user's rate in wireless power transfer (WPT) enabled massive multiple input multiple output (MIMO) systems. In the proposed system, a power beacon (PB) with multiple antennas transmits energy to the sensor node (SN) by WPT, and the SN transmits all the received energy to the base station (BS) with harvest-then-transmit protocol. A closed-form power allocation and optimal time allocation algorithm based on the bisection method is proposed to maximize the system's minimum user's rate. Simulation results show the efficiency of the proposed algorithm in term of minimum user's rate and energy efficiency.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"42 1","pages":"889-893"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Max-Min Resource Allocation for Wireless Power Transfer Enabled Massive MIMO Systems\",\"authors\":\"Kunhao Huang, Zheng-qiang Wang, Xiaoyu Wan, Zi-fu Fan, Yongjun Xu\",\"doi\":\"10.1109/ICCC47050.2019.9064297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the resource allocation algorithm to maximize the minimum user's rate in wireless power transfer (WPT) enabled massive multiple input multiple output (MIMO) systems. In the proposed system, a power beacon (PB) with multiple antennas transmits energy to the sensor node (SN) by WPT, and the SN transmits all the received energy to the base station (BS) with harvest-then-transmit protocol. A closed-form power allocation and optimal time allocation algorithm based on the bisection method is proposed to maximize the system's minimum user's rate. Simulation results show the efficiency of the proposed algorithm in term of minimum user's rate and energy efficiency.\",\"PeriodicalId\":6739,\"journal\":{\"name\":\"2019 IEEE 5th International Conference on Computer and Communications (ICCC)\",\"volume\":\"42 1\",\"pages\":\"889-893\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 5th International Conference on Computer and Communications (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCC47050.2019.9064297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCC47050.2019.9064297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Max-Min Resource Allocation for Wireless Power Transfer Enabled Massive MIMO Systems
This paper investigates the resource allocation algorithm to maximize the minimum user's rate in wireless power transfer (WPT) enabled massive multiple input multiple output (MIMO) systems. In the proposed system, a power beacon (PB) with multiple antennas transmits energy to the sensor node (SN) by WPT, and the SN transmits all the received energy to the base station (BS) with harvest-then-transmit protocol. A closed-form power allocation and optimal time allocation algorithm based on the bisection method is proposed to maximize the system's minimum user's rate. Simulation results show the efficiency of the proposed algorithm in term of minimum user's rate and energy efficiency.
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