11 GHz大厅环境下基于测量的大规模MIMO信道特性研究

Jianzhi Li, B. Ai, R. He, Mi Yang, Z. Zhong, Y. Hao
{"title":"11 GHz大厅环境下基于测量的大规模MIMO信道特性研究","authors":"Jianzhi Li, B. Ai, R. He, Mi Yang, Z. Zhong, Y. Hao","doi":"10.1109/ICCCHINA.2018.8641139","DOIUrl":null,"url":null,"abstract":"In this paper, a massive MIMO channel measurement campaign is conducted at 11 GHz in an indoor lobby environment. The measurements use two types of 256-element virtual uniform rectangular arrays (URAs), i.e., the 4×64 virtual URA and the 64×4 virtual URA. The channel characterization is presented by investigating the typical channel parameters, including average power delay profile (APDP), K factor, root mean square (RMS) delay spread, and coherence bandwidth. Moreover, the channel characteristics in angular domain are investigated by applying the space-alternating generalized expectation-maximization algorithm (SAGE). The extracted MPCs are preliminarily clustered by visual inspection, and related to the interacting objects (IO) in physical environment. To evaluate the directional dispersion at the base station (BS) side, direction spread of departure is estimated based on the SAGE estimates. The results in this paper can help to reveal the propagation mechanisms in massive MIMO channels, and provide a foundation for the design and application of the practical massive MIMO system.","PeriodicalId":170216,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Measurement-Based Massive MIMO Channel Characterization in Lobby Environment at 11 GHz\",\"authors\":\"Jianzhi Li, B. Ai, R. He, Mi Yang, Z. Zhong, Y. Hao\",\"doi\":\"10.1109/ICCCHINA.2018.8641139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a massive MIMO channel measurement campaign is conducted at 11 GHz in an indoor lobby environment. The measurements use two types of 256-element virtual uniform rectangular arrays (URAs), i.e., the 4×64 virtual URA and the 64×4 virtual URA. The channel characterization is presented by investigating the typical channel parameters, including average power delay profile (APDP), K factor, root mean square (RMS) delay spread, and coherence bandwidth. Moreover, the channel characteristics in angular domain are investigated by applying the space-alternating generalized expectation-maximization algorithm (SAGE). The extracted MPCs are preliminarily clustered by visual inspection, and related to the interacting objects (IO) in physical environment. To evaluate the directional dispersion at the base station (BS) side, direction spread of departure is estimated based on the SAGE estimates. The results in this paper can help to reveal the propagation mechanisms in massive MIMO channels, and provide a foundation for the design and application of the practical massive MIMO system.\",\"PeriodicalId\":170216,\"journal\":{\"name\":\"2018 IEEE/CIC International Conference on Communications in China (ICCC)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE/CIC International Conference on Communications in China (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCHINA.2018.8641139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/CIC International Conference on Communications in China (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCHINA.2018.8641139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文在室内大厅环境下进行了11ghz的大规模MIMO信道测量活动。测量使用两种类型的256个元素的虚拟均匀矩形阵列(URA),即4×64虚拟URA和64×4虚拟URA。通过研究典型的信道参数,包括平均功率延迟分布(APDP)、K因子、均方根延迟扩展(RMS)和相干带宽,给出了信道特性。此外,应用空间交替广义期望最大化算法(SAGE)研究了信道在角域中的特性。通过视觉检测对提取的MPCs进行初步聚类,并将其与物理环境中的交互对象(IO)相关联。为了评估基站侧的方向频散,在SAGE估计的基础上估计了出发方向频散。本文的研究结果有助于揭示大规模MIMO信道中的传播机制,为实际大规模MIMO系统的设计和应用提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measurement-Based Massive MIMO Channel Characterization in Lobby Environment at 11 GHz
In this paper, a massive MIMO channel measurement campaign is conducted at 11 GHz in an indoor lobby environment. The measurements use two types of 256-element virtual uniform rectangular arrays (URAs), i.e., the 4×64 virtual URA and the 64×4 virtual URA. The channel characterization is presented by investigating the typical channel parameters, including average power delay profile (APDP), K factor, root mean square (RMS) delay spread, and coherence bandwidth. Moreover, the channel characteristics in angular domain are investigated by applying the space-alternating generalized expectation-maximization algorithm (SAGE). The extracted MPCs are preliminarily clustered by visual inspection, and related to the interacting objects (IO) in physical environment. To evaluate the directional dispersion at the base station (BS) side, direction spread of departure is estimated based on the SAGE estimates. The results in this paper can help to reveal the propagation mechanisms in massive MIMO channels, and provide a foundation for the design and application of the practical massive MIMO system.
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