Channel Estimation for Compound Field Extensive Massive MIMO

S. T, S. Gandhi
{"title":"Channel Estimation for Compound Field Extensive Massive MIMO","authors":"S. T, S. Gandhi","doi":"10.1109/CyberneticsCom55287.2022.9865630","DOIUrl":null,"url":null,"abstract":"Extensive Massive MIMO (Multiple Input, Multiple Output) has the potential to satisfy the high data rate needs of future 6G. In order to get effective precoding, accurate information about the channel's current condition is critical. Existing Low pilot overhead estimate approaches strongly depend on attained angular domain channel sparsity based on plane wave front in the far field (FF) and polar domain channel sparsity based on spherical wave front in the near field (NF). In practical scenario some scatterers are present in FF region and some are present in NF. However FF as well as NF schemes for estimating the channel is not enough to find out the combined field Extensive Massive MIMO channel. An effective combined field approach for predicting the Extensive Massive MIMO channel is proposed in order to overcome this difficulty. Results from simulations reveal that the suggested approach is more efficient than the current one.","PeriodicalId":178279,"journal":{"name":"2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberneticsCom55287.2022.9865630","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

Extensive Massive MIMO (Multiple Input, Multiple Output) has the potential to satisfy the high data rate needs of future 6G. In order to get effective precoding, accurate information about the channel's current condition is critical. Existing Low pilot overhead estimate approaches strongly depend on attained angular domain channel sparsity based on plane wave front in the far field (FF) and polar domain channel sparsity based on spherical wave front in the near field (NF). In practical scenario some scatterers are present in FF region and some are present in NF. However FF as well as NF schemes for estimating the channel is not enough to find out the combined field Extensive Massive MIMO channel. An effective combined field approach for predicting the Extensive Massive MIMO channel is proposed in order to overcome this difficulty. Results from simulations reveal that the suggested approach is more efficient than the current one.
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
复合场扩展大规模MIMO的信道估计
广泛的大规模MIMO(多输入多输出)有潜力满足未来6G的高数据速率需求。为了获得有效的预编码,准确的信道当前状态信息至关重要。现有的低导频开销估计方法严重依赖于基于远场平面波前的角域信道稀疏度和基于近场球面波前的极域信道稀疏度。在实际场景中,一些散射体存在于FF区,一些散射体存在于NF区。但是,FF和NF两种估计信道的方法不足以找出组合场扩展大规模MIMO信道。为了克服这一困难,提出了一种有效的联合场预测方法。仿真结果表明,该方法比现有方法更有效。
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
Method of Electroencephalography Electrode Selection for Motor Imagery Application Aspect-based Sentiment Analysis for Improving Online Learning Program Based on Student Feedback Fuzzy Logic Control Strategy for Axial Flux Permanent Magnet Synchronous Generator in WHM 1.5KW Welcome Message from General Chair The 6th Cyberneticscom 2022 Performance Comparison of AODV, AODV-ETX and Modified AODV-ETX in VANET using NS3
×
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:481959085
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