Antennas' correlation influence on the GMD-assisted MIMO channels performance

C. Benavente-Peces, A. Ahrens, José Manuel Pardo-Martín, F. Ortega-González
{"title":"Antennas' correlation influence on the GMD-assisted MIMO channels performance","authors":"C. Benavente-Peces, A. Ahrens, José Manuel Pardo-Martín, F. Ortega-González","doi":"10.5220/0005363603250334","DOIUrl":null,"url":null,"abstract":"The use of multiple antennas in MIMO (multiple-input multiple-output) systems at both the transmit and receive sides produces the effect known as antennas correlation which impact the overall channel performance, throughput and bit-error rate (BER). The geometric mean decomposition (GMD) is a signal processing technique which can be used to process transmit and receive signals in MIMO channels. The GMD pre- and post-procesing in conjunction with dirty-paper precoding shows some advantages over the popular singular value decomposition (SVD) technique which provides GMD-assisted MIMO systems a superior performance particularly when the channel is affected by antennas correlation. This paper analyses the impact of antennas correlation on the performance of GMD-assisted wireless MIMO channels highlighting the advantages over SVD-assisted ones.","PeriodicalId":345016,"journal":{"name":"2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005363603250334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The use of multiple antennas in MIMO (multiple-input multiple-output) systems at both the transmit and receive sides produces the effect known as antennas correlation which impact the overall channel performance, throughput and bit-error rate (BER). The geometric mean decomposition (GMD) is a signal processing technique which can be used to process transmit and receive signals in MIMO channels. The GMD pre- and post-procesing in conjunction with dirty-paper precoding shows some advantages over the popular singular value decomposition (SVD) technique which provides GMD-assisted MIMO systems a superior performance particularly when the channel is affected by antennas correlation. This paper analyses the impact of antennas correlation on the performance of GMD-assisted wireless MIMO channels highlighting the advantages over SVD-assisted ones.
天线相关性对gmd辅助MIMO信道性能的影响
在MIMO(多输入多输出)系统中,在发射端和接收端同时使用多个天线会产生天线相关效应,它会影响信道的整体性能、吞吐量和误码率。几何平均分解(GMD)是一种用于MIMO信道中收发信号处理的信号处理技术。与流行的奇异值分解(SVD)技术相比,GMD预处理和后处理结合脏纸预编码显示出一些优势,奇异值分解(SVD)技术为GMD辅助MIMO系统提供了优越的性能,特别是当信道受天线相关性影响时。分析了天线相关性对gmd辅助无线MIMO信道性能的影响,突出了gmd辅助无线MIMO信道相对于svd辅助无线MIMO信道的优势。
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
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