Validation of low-accuracy quantization in massive MIMO and constellation EVM analysis

C. Desset, L. Perre
{"title":"Validation of low-accuracy quantization in massive MIMO and constellation EVM analysis","authors":"C. Desset, L. Perre","doi":"10.1109/EuCNC.2015.7194033","DOIUrl":null,"url":null,"abstract":"Massive MIMO is a promising approach in order to increase the data rate of cellular systems while reducing their power consumption. While the concept is elegant, many potential show-stoppers have to be investigated, in order to make sure that the idea keeps its promises. On such element is the claim that massive MIMO systems can operate with very low digital signal processing accuracy, and hence reduced implementation complexity and power consumption. In this paper, we investigate the impact of digital quantization of massive MIMO at low resolution. Simulations show that the system can operate correctly with as few as 2 or 3 bits of digital resolution at the end of the digital chain, while limiting the degradation to 1 dB in required signal-to-noise ratio.","PeriodicalId":310313,"journal":{"name":"2015 European Conference on Networks and Communications (EuCNC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 European Conference on Networks and Communications (EuCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuCNC.2015.7194033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

Abstract

Massive MIMO is a promising approach in order to increase the data rate of cellular systems while reducing their power consumption. While the concept is elegant, many potential show-stoppers have to be investigated, in order to make sure that the idea keeps its promises. On such element is the claim that massive MIMO systems can operate with very low digital signal processing accuracy, and hence reduced implementation complexity and power consumption. In this paper, we investigate the impact of digital quantization of massive MIMO at low resolution. Simulations show that the system can operate correctly with as few as 2 or 3 bits of digital resolution at the end of the digital chain, while limiting the degradation to 1 dB in required signal-to-noise ratio.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大规模MIMO和星座EVM分析中的低精度量化验证
大规模MIMO是一种很有前途的方法,可以提高蜂窝系统的数据速率,同时降低其功耗。虽然这个概念很优雅,但为了确保这个想法能兑现承诺,必须对许多潜在的阻碍因素进行调查。在这样的元素上,声称大规模MIMO系统可以以非常低的数字信号处理精度运行,从而降低了实现的复杂性和功耗。在本文中,我们研究了数字量化对低分辨率大规模MIMO的影响。仿真表明,该系统可以在数字链末端的数字分辨率低至2或3位的情况下正常运行,同时将所需信噪比的退化限制在1 dB。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A measurement-based study of big-data movement SDN and NFV integration in generalized mobile network architecture Sub-optimal initialization for blind equalization with fast convergence in OFDM/OQAM modulation Fair resource allocation with QoS support for the uplink of LTE systems Interference protection of radio astronomy services using cognitive radio spectrum sharing models
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1