Max-Min Fairness Power Control for Massive MU-MIMO Systems with Finite-Dimensional Channel Model

O. Saatlou, M. Ahmad, M. Swamy
{"title":"Max-Min Fairness Power Control for Massive MU-MIMO Systems with Finite-Dimensional Channel Model","authors":"O. Saatlou, M. Ahmad, M. Swamy","doi":"10.1109/CCECE.2018.8447716","DOIUrl":null,"url":null,"abstract":"This paper considers a max-min fairness power control problem for the spectral efficiency of multiuser massive multiple-input multiple-output systems in a uplink transmission, where a base station receives data signals from the various users. A physical channel model in which the angular domain is separated into a finite number of distinct directions is also considered in this paper. Based on the large-scale fading coefficients, a power control method is formulated as an optimization problem in order to maximize the minimum spectral efficiency among the various users under the peak power constraint. This optimization problem is solved by employing a geometric program. The numerical results are conducted by two practical scenarios to evaluate the proposed power control method. In both scenarios, it has been shown that the proposed power control method is superior to other existing schemes in terms of minimum spectral efficiency.","PeriodicalId":181463,"journal":{"name":"2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2018.8447716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper considers a max-min fairness power control problem for the spectral efficiency of multiuser massive multiple-input multiple-output systems in a uplink transmission, where a base station receives data signals from the various users. A physical channel model in which the angular domain is separated into a finite number of distinct directions is also considered in this paper. Based on the large-scale fading coefficients, a power control method is formulated as an optimization problem in order to maximize the minimum spectral efficiency among the various users under the peak power constraint. This optimization problem is solved by employing a geometric program. The numerical results are conducted by two practical scenarios to evaluate the proposed power control method. In both scenarios, it has been shown that the proposed power control method is superior to other existing schemes in terms of minimum spectral efficiency.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有有限维信道模型的大规模MU-MIMO系统的最大-最小公平功率控制
本文研究了多用户海量多输入多输出系统在上行传输中频谱效率的最大最小公平功率控制问题,其中基站接收来自不同用户的数据信号。本文还考虑了角域被分割成有限个不同方向的物理信道模型。在大尺度衰落系数的基础上,以峰值功率约束下各用户频谱效率最小最大化为优化问题,提出了一种功率控制方法。该优化问题采用几何程序求解。通过两个实际场景的数值计算,对所提出的功率控制方法进行了评价。在这两种情况下,所提出的功率控制方法在最小频谱效率方面优于其他现有方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Full Area Coverage Guaranteed, Energy Efficient Network Configuration Strategy for 3D Wireless Sensor Networks Metasurface-Based WPT Rectenna with Extensive Input Power Range in the 900 MHz Wearable Ultrasonic Sensor Using Double-Layer PVDF Films for Monitoring Tissue Motion A Stochastic Programming Model for Resource Allocation in LTE-U Networks Current Spectral Analysis of Broken Rotor Bar Faults for Induction Motors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1