Link level performance prediction of MIMO PIC receivers through QR decomposition of channel matrix

Asif Khan, A. Khan, I. Ullah, S. Khattak
{"title":"Link level performance prediction of MIMO PIC receivers through QR decomposition of channel matrix","authors":"Asif Khan, A. Khan, I. Ullah, S. Khattak","doi":"10.23919/SOFTCOM.2017.8115557","DOIUrl":null,"url":null,"abstract":"In this paper, an accurate QR decomposition based link level performance abstraction technique for a multi-input multi-output iterative receiver is proposed. The post-detection SNR values for an iterative receiver are estimated using QR decomposition of the channel matrix. The effect of channels on the received SNR is realized by scaling the signal in accordance with the leading diagonal elements of the R matrix. Both mutual and exponential mapping functions have been used for data compression. The proposed link level performance abstraction strategy employs a single lookup table without having to do the complex link level simulations. It is independent of the channel conditions and depends only on the type of the receiver used and the modulation and coding scheme adopted. The resulting link level performance prediction shows a good approximation of the simulated performance at different modulation and coding scheme.","PeriodicalId":189860,"journal":{"name":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SOFTCOM.2017.8115557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, an accurate QR decomposition based link level performance abstraction technique for a multi-input multi-output iterative receiver is proposed. The post-detection SNR values for an iterative receiver are estimated using QR decomposition of the channel matrix. The effect of channels on the received SNR is realized by scaling the signal in accordance with the leading diagonal elements of the R matrix. Both mutual and exponential mapping functions have been used for data compression. The proposed link level performance abstraction strategy employs a single lookup table without having to do the complex link level simulations. It is independent of the channel conditions and depends only on the type of the receiver used and the modulation and coding scheme adopted. The resulting link level performance prediction shows a good approximation of the simulated performance at different modulation and coding scheme.
基于信道矩阵QR分解的MIMO PIC接收机链路级性能预测
针对多输入多输出迭代接收机,提出了一种基于精确QR分解的链路级性能抽象技术。利用信道矩阵的QR分解估计迭代接收机的检测后信噪比值。信道对接收信噪比的影响是通过根据R矩阵的前对角元素对信号进行缩放来实现的。互映射函数和指数映射函数都被用于数据压缩。提出的链路级性能抽象策略采用单个查找表,而无需进行复杂的链路级模拟。它与信道条件无关,仅取决于所使用的接收器类型以及所采用的调制和编码方案。所得的链路级性能预测结果与不同调制和编码方案下的模拟性能有很好的近似。
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:604180095
Book学术官方微信