Outage probability approximation for the wiener filter SINR in MIMO systems

A. Kammoun, M. Kharouf, W. Hachem, J. Najim
{"title":"Outage probability approximation for the wiener filter SINR in MIMO systems","authors":"A. Kammoun, M. Kharouf, W. Hachem, J. Najim","doi":"10.1109/SPAWC.2008.4641592","DOIUrl":null,"url":null,"abstract":"This paper studies the fluctuations of the post-processing SNR at the output of the linear MMSE receiver in (receive) correlated multiple input multiple output (MIMO) systems. Although it is known that asymptotically, the SNR behaves like a Gaussian random variable, this approximation may yield to inaccurate estimates for small dimension. In order to circumvent this, we use gamma and generalized gamma distributions to approximate the probability distribution of the SINR. The first three asymptotic moments of the SNR are computed and are used to adjust gamma and generalized gamma distributions and to accurately approximate the bit error rate (BER) and its outage probability. We provide simulations which strongly support the gamma approximation, even for a small number of emitting/receive antennas.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2008.4641592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper studies the fluctuations of the post-processing SNR at the output of the linear MMSE receiver in (receive) correlated multiple input multiple output (MIMO) systems. Although it is known that asymptotically, the SNR behaves like a Gaussian random variable, this approximation may yield to inaccurate estimates for small dimension. In order to circumvent this, we use gamma and generalized gamma distributions to approximate the probability distribution of the SINR. The first three asymptotic moments of the SNR are computed and are used to adjust gamma and generalized gamma distributions and to accurately approximate the bit error rate (BER) and its outage probability. We provide simulations which strongly support the gamma approximation, even for a small number of emitting/receive antennas.
MIMO系统中维纳滤波器信噪比的中断概率逼近
本文研究了相关多输入多输出(MIMO)系统中线性MMSE接收机输出端后处理信噪比的波动。虽然我们知道信噪比的渐近表现为高斯随机变量,但这种近似可能会导致小维度的不准确估计。为了避免这种情况,我们使用伽玛和广义伽玛分布来近似SINR的概率分布。计算信噪比的前三个渐近矩,用于调整伽玛和广义伽玛分布,并精确地近似误码率(BER)及其中断概率。我们提供了强烈支持伽马近似的模拟,即使对于少量的发射/接收天线也是如此。
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