大型天线阵列系统中基于MU-MIMO的信噪比预测

Zhaohua Lu, Dengkui Zhu, Xiaodan Zhang, Xianming Chen
{"title":"大型天线阵列系统中基于MU-MIMO的信噪比预测","authors":"Zhaohua Lu, Dengkui Zhu, Xiaodan Zhang, Xianming Chen","doi":"10.1109/WCSP.2013.6677060","DOIUrl":null,"url":null,"abstract":"Wireless data rates are prodicted to increase 1000 fold by 2020 and likely go up to 10,000 times by 2025. To meet the explosive growth in traffic during the next fifteen years, significant improvement in spectral efficiency is required. One of the promising innovative technologies to meet the above requirements is the massive MIMO technology adopting in large-scale antenna array system. The MIMO channel formed by the massive MIMO technology is likely to be very asymmetric and the number of possible independent data streams for transmission is limited by the number of antennas at the mobile station. Thus MU-MIMO (multi-user MIMO), which offer spatial multiplexing gain without the requirement of multiple antenna arrays at the mobile station, is very worthy of study in large scale antenna array system. In this paper, we give a formula of SINR prediction based on MU-MIMO in large scale antenna array system. Using the formula, a base station could easily predict the capacity loss because of non-deal Channel State Information (CSI), and then choose MIMO mode(e.g. adaptive switching between Single User-MIMO and MU-MIMO) or the best paired users properly in MU-MIMO system. Simulation results show the rationality of the formula.","PeriodicalId":342639,"journal":{"name":"2013 International Conference on Wireless Communications and Signal Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"SINR prediction based on MU-MIMO in large scale antenna array system\",\"authors\":\"Zhaohua Lu, Dengkui Zhu, Xiaodan Zhang, Xianming Chen\",\"doi\":\"10.1109/WCSP.2013.6677060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless data rates are prodicted to increase 1000 fold by 2020 and likely go up to 10,000 times by 2025. To meet the explosive growth in traffic during the next fifteen years, significant improvement in spectral efficiency is required. One of the promising innovative technologies to meet the above requirements is the massive MIMO technology adopting in large-scale antenna array system. The MIMO channel formed by the massive MIMO technology is likely to be very asymmetric and the number of possible independent data streams for transmission is limited by the number of antennas at the mobile station. Thus MU-MIMO (multi-user MIMO), which offer spatial multiplexing gain without the requirement of multiple antenna arrays at the mobile station, is very worthy of study in large scale antenna array system. In this paper, we give a formula of SINR prediction based on MU-MIMO in large scale antenna array system. Using the formula, a base station could easily predict the capacity loss because of non-deal Channel State Information (CSI), and then choose MIMO mode(e.g. adaptive switching between Single User-MIMO and MU-MIMO) or the best paired users properly in MU-MIMO system. Simulation results show the rationality of the formula.\",\"PeriodicalId\":342639,\"journal\":{\"name\":\"2013 International Conference on Wireless Communications and Signal Processing\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Wireless Communications and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2013.6677060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Wireless Communications and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2013.6677060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

到2020年,无线数据速率预计将增加1000倍,到2025年可能会增加到1万倍。为了满足未来15年业务量的爆炸性增长,需要大幅提高频谱效率。大规模天线阵列系统中采用的大规模MIMO技术是满足上述需求的创新技术之一。大规模MIMO技术形成的MIMO信道可能非常不对称,并且可能传输的独立数据流的数量受到移动站天线数量的限制。因此,多用户MIMO (multi-user MIMO)在大规模天线阵列系统中是非常值得研究的,它可以在不需要多个天线阵列的情况下提供空间复用增益。本文给出了大型天线阵列系统中基于MU-MIMO的信噪比预测公式。利用该公式,基站可以很容易地预测由于非交易信道状态信息(CSI)造成的容量损失,进而选择MIMO模式(如:单用户mimo和多用户mimo之间的自适应切换,或多用户mimo系统中最佳配对的用户。仿真结果表明了该公式的合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SINR prediction based on MU-MIMO in large scale antenna array system
Wireless data rates are prodicted to increase 1000 fold by 2020 and likely go up to 10,000 times by 2025. To meet the explosive growth in traffic during the next fifteen years, significant improvement in spectral efficiency is required. One of the promising innovative technologies to meet the above requirements is the massive MIMO technology adopting in large-scale antenna array system. The MIMO channel formed by the massive MIMO technology is likely to be very asymmetric and the number of possible independent data streams for transmission is limited by the number of antennas at the mobile station. Thus MU-MIMO (multi-user MIMO), which offer spatial multiplexing gain without the requirement of multiple antenna arrays at the mobile station, is very worthy of study in large scale antenna array system. In this paper, we give a formula of SINR prediction based on MU-MIMO in large scale antenna array system. Using the formula, a base station could easily predict the capacity loss because of non-deal Channel State Information (CSI), and then choose MIMO mode(e.g. adaptive switching between Single User-MIMO and MU-MIMO) or the best paired users properly in MU-MIMO system. Simulation results show the rationality of the formula.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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