基于频率相关预编码的快速太赫兹波束训练

Jungjae Park, Seungnyun Kim, Ji-Sun Moon, B. Shim
{"title":"基于频率相关预编码的快速太赫兹波束训练","authors":"Jungjae Park, Seungnyun Kim, Ji-Sun Moon, B. Shim","doi":"10.1109/iccworkshops53468.2022.9814478","DOIUrl":null,"url":null,"abstract":"Terahertz (THz) communications in the 0.1-10 THz band are envisaged as an attractive way to attain richer spectrum resources and surmount the bandwidth desert. To overcome the severe propagation loss suffered in THz communications and thus achieve high beamforming gain, massive multiple-input multiple-output (MIMO) technique has received much attention. To realize highly directional communications, beam training procedure is indispensable but the beam training schemes de-signed for narrowband systems result in severe performance loss caused by the wideband beam squint effect. To address this problem, we propose a beam training scheme using frequency-dependent RF precoder. Specifically, we analyze the optimal phase shifts to obtain the frequency-dependent RF precoder and then propose a hierarchical beam training scheme using the frequency-dependent RF precoder. Numerical results including the achievable sum-rate and the beamforming gain are presented to demonstrate the effectiveness of the proposed scheme.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fast Terahertz Beam Training Via Frequency-dependent Precoding\",\"authors\":\"Jungjae Park, Seungnyun Kim, Ji-Sun Moon, B. Shim\",\"doi\":\"10.1109/iccworkshops53468.2022.9814478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Terahertz (THz) communications in the 0.1-10 THz band are envisaged as an attractive way to attain richer spectrum resources and surmount the bandwidth desert. To overcome the severe propagation loss suffered in THz communications and thus achieve high beamforming gain, massive multiple-input multiple-output (MIMO) technique has received much attention. To realize highly directional communications, beam training procedure is indispensable but the beam training schemes de-signed for narrowband systems result in severe performance loss caused by the wideband beam squint effect. To address this problem, we propose a beam training scheme using frequency-dependent RF precoder. Specifically, we analyze the optimal phase shifts to obtain the frequency-dependent RF precoder and then propose a hierarchical beam training scheme using the frequency-dependent RF precoder. Numerical results including the achievable sum-rate and the beamforming gain are presented to demonstrate the effectiveness of the proposed scheme.\",\"PeriodicalId\":102261,\"journal\":{\"name\":\"2022 IEEE International Conference on Communications Workshops (ICC Workshops)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Communications Workshops (ICC Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iccworkshops53468.2022.9814478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccworkshops53468.2022.9814478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

0.1- 10thz频段的太赫兹(THz)通信被设想为获得更丰富的频谱资源和克服带宽沙漠的一种有吸引力的方式。为了克服太赫兹通信中严重的传播损耗,从而获得高波束形成增益,大规模多输入多输出(MIMO)技术受到了广泛的关注。为了实现高定向通信,波束训练是必不可少的,但针对窄带系统设计的波束训练方案由于宽带波束斜视效应造成了严重的性能损失。为了解决这个问题,我们提出了一种使用频率相关射频预编码器的波束训练方案。具体来说,我们分析了获得频率相关射频预编码器的最佳相移,然后提出了使用频率相关射频预编码器的分层波束训练方案。给出了可实现的和速率和波束形成增益的数值结果,验证了该方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Fast Terahertz Beam Training Via Frequency-dependent Precoding
Terahertz (THz) communications in the 0.1-10 THz band are envisaged as an attractive way to attain richer spectrum resources and surmount the bandwidth desert. To overcome the severe propagation loss suffered in THz communications and thus achieve high beamforming gain, massive multiple-input multiple-output (MIMO) technique has received much attention. To realize highly directional communications, beam training procedure is indispensable but the beam training schemes de-signed for narrowband systems result in severe performance loss caused by the wideband beam squint effect. To address this problem, we propose a beam training scheme using frequency-dependent RF precoder. Specifically, we analyze the optimal phase shifts to obtain the frequency-dependent RF precoder and then propose a hierarchical beam training scheme using the frequency-dependent RF precoder. Numerical results including the achievable sum-rate and the beamforming gain are presented to demonstrate the effectiveness of the proposed scheme.
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
期刊最新文献
Performance Analysis of a Bistatic Joint Sensing and Communication System An Upgraded Object Detection Model for Enhanced Perception and Decision Making in Autonomous Vehicles Demo: Low-power Communications Based on RIS and AI for 6G Demo: Deterministic Radio Propagation Simulation for Integrated Communication Systems in Multimodal Intelligent Transportation Scenarios Energy Efficient Distributed Learning in Integrated Fog-Cloud Computing Enabled IoT Networks
×
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