OPTIMAL TRANSMIT POWER ALLOCATION FOR MAXIMIZING THE CHANNEL CAPACITY AND SINR IN MU-MIMO SYSTEM USING DIRTY PAPER CODING

Q4 Energy
Uma Maheswari Ramisetty, Sumanth Chennupati
{"title":"OPTIMAL TRANSMIT POWER ALLOCATION FOR MAXIMIZING THE CHANNEL CAPACITY AND SINR IN MU-MIMO SYSTEM USING DIRTY PAPER CODING","authors":"Uma Maheswari Ramisetty, Sumanth Chennupati","doi":"10.34218/ijeet.11.4.2020.032","DOIUrl":null,"url":null,"abstract":"Massive MIMO is the emerging technology to design 5G wireless communication systems. Perfect channel state information(CSI) is the essential condition to design the performance metrics for MU-MIMO system since the inaccuracies present in the CSI reduces data rates and channel capacity. The objective of this paper is to design a optimum power allocation scheme for MU-MIMO using dirty paper coder pre-coding. An expression is derived to determine the optimum power allocation and the ambient condition with degree of perfection factor under channel reliability at the base station to reduce the transmit power and the results obtained are presented and analysed. 2018 The Korean Institute of Communications and Information Sciences. Publishing Services by Elsevier B.V.","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"2014 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34218/ijeet.11.4.2020.032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Energy","Score":null,"Total":0}
引用次数: 0

Abstract

Massive MIMO is the emerging technology to design 5G wireless communication systems. Perfect channel state information(CSI) is the essential condition to design the performance metrics for MU-MIMO system since the inaccuracies present in the CSI reduces data rates and channel capacity. The objective of this paper is to design a optimum power allocation scheme for MU-MIMO using dirty paper coder pre-coding. An expression is derived to determine the optimum power allocation and the ambient condition with degree of perfection factor under channel reliability at the base station to reduce the transmit power and the results obtained are presented and analysed. 2018 The Korean Institute of Communications and Information Sciences. Publishing Services by Elsevier B.V.
采用脏纸编码的mu-mimo系统中最大信道容量和最大信噪比的最佳发射功率分配
大规模MIMO是设计5G无线通信系统的新兴技术。完美的信道状态信息(CSI)是设计MU-MIMO系统性能指标的必要条件,因为CSI存在的不准确性会降低数据速率和信道容量。本文的目的是设计一种利用脏纸编码器预编码的MU-MIMO最佳功率分配方案。导出了在信道可靠性条件下确定基站最优功率分配和具有完美度因子的环境条件以减小发射功率的表达式,给出了计算结果并进行了分析。2018年韩国通信与信息科学研究所。Elsevier B.V.出版服务
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 求助全文
来源期刊
International Journal of Electrical Engineering and Technology
International Journal of Electrical Engineering and Technology Energy-Energy Engineering and Power Technology
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信