{"title":"基于零强迫波束形成技术的无小区大规模MIMO功率优化","authors":"Subodh Chand Tripathi, A. Trivedi, Shweta Rajoria","doi":"10.1109/INFOCOMTECH.2018.8722368","DOIUrl":null,"url":null,"abstract":"A Cell Free massive MIMO, comprising a very large number of distributed access points (APs) is a promising technology to provide high data rate, spectral efficiency (SE), and energy efficiency (EE). In this paper, zero-forcing (ZF) beamforming is used since it is free from self-interference. This paper considers Cell Free massive MIMO with ZF beamforming. Here, the power control coefficient and access point power are jointly optimized to improve the Signal-to-interference-plus-noise ratio (SINR) and rate of the system. The original problem is decomposed into two sub-problems and is then optimized individually. Lagrange method is applied to solve the optimization problem efficiently. It is observed that the maximum SINR and rate of downlink improve considerably.","PeriodicalId":175757,"journal":{"name":"2018 Conference on Information and Communication Technology (CICT)","volume":"47 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Power Optimization of Cell Free massive MIMO with Zero-forcing Beamforming Technique\",\"authors\":\"Subodh Chand Tripathi, A. Trivedi, Shweta Rajoria\",\"doi\":\"10.1109/INFOCOMTECH.2018.8722368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Cell Free massive MIMO, comprising a very large number of distributed access points (APs) is a promising technology to provide high data rate, spectral efficiency (SE), and energy efficiency (EE). In this paper, zero-forcing (ZF) beamforming is used since it is free from self-interference. This paper considers Cell Free massive MIMO with ZF beamforming. Here, the power control coefficient and access point power are jointly optimized to improve the Signal-to-interference-plus-noise ratio (SINR) and rate of the system. The original problem is decomposed into two sub-problems and is then optimized individually. Lagrange method is applied to solve the optimization problem efficiently. It is observed that the maximum SINR and rate of downlink improve considerably.\",\"PeriodicalId\":175757,\"journal\":{\"name\":\"2018 Conference on Information and Communication Technology (CICT)\",\"volume\":\"47 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Conference on Information and Communication Technology (CICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOCOMTECH.2018.8722368\",\"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 Conference on Information and Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOCOMTECH.2018.8722368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power Optimization of Cell Free massive MIMO with Zero-forcing Beamforming Technique
A Cell Free massive MIMO, comprising a very large number of distributed access points (APs) is a promising technology to provide high data rate, spectral efficiency (SE), and energy efficiency (EE). In this paper, zero-forcing (ZF) beamforming is used since it is free from self-interference. This paper considers Cell Free massive MIMO with ZF beamforming. Here, the power control coefficient and access point power are jointly optimized to improve the Signal-to-interference-plus-noise ratio (SINR) and rate of the system. The original problem is decomposed into two sub-problems and is then optimized individually. Lagrange method is applied to solve the optimization problem efficiently. It is observed that the maximum SINR and rate of downlink improve considerably.
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