移动毫米波通信系统的数据驱动多臂波束跟踪

Shenmin Zhang, Yuan Ma, Xingjian Zhang, Jian Wang
{"title":"移动毫米波通信系统的数据驱动多臂波束跟踪","authors":"Shenmin Zhang, Yuan Ma, Xingjian Zhang, Jian Wang","doi":"10.1109/VTC2022-Fall57202.2022.10012984","DOIUrl":null,"url":null,"abstract":"The goal of the next-generation mobile communication system is higher data-rates, lower latency, and higher energy-efficient performance, which bring about the demands for fast beam tracking in time-varying mobile communication. With the development of large-scale antenna array technology, highly directional beams can be formed with limited radio frequency chains. However, traditional exhaustive searching scheme has unacceptable overhead that leads to great challenges for applying to mobile millimeter-wave environments. Fast beam tracking scheme therefore has been recognized as a key technology in millimeter wave communication. To address this issue, this paper proposes a data-driven multi-armed beam tracking scheme to select the beamforming/combining vectors that achieve the target quality of service based on the real-time measurement, rather than the prior knowledge such as channel and user mobility information in beamforming design. To further speed up the beam tracking process, multi-armed beam is created to sample multiple spatial directions simultaneously. Simulation results show that the proposed data-driven multi-armed beam tracking method could achieve fast beam tracking performance with high resolution and reduced training overhead.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data-Driven Multi-armed Beam Tracking for Mobile Millimeter-Wave Communication Systems\",\"authors\":\"Shenmin Zhang, Yuan Ma, Xingjian Zhang, Jian Wang\",\"doi\":\"10.1109/VTC2022-Fall57202.2022.10012984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of the next-generation mobile communication system is higher data-rates, lower latency, and higher energy-efficient performance, which bring about the demands for fast beam tracking in time-varying mobile communication. With the development of large-scale antenna array technology, highly directional beams can be formed with limited radio frequency chains. However, traditional exhaustive searching scheme has unacceptable overhead that leads to great challenges for applying to mobile millimeter-wave environments. Fast beam tracking scheme therefore has been recognized as a key technology in millimeter wave communication. To address this issue, this paper proposes a data-driven multi-armed beam tracking scheme to select the beamforming/combining vectors that achieve the target quality of service based on the real-time measurement, rather than the prior knowledge such as channel and user mobility information in beamforming design. To further speed up the beam tracking process, multi-armed beam is created to sample multiple spatial directions simultaneously. Simulation results show that the proposed data-driven multi-armed beam tracking method could achieve fast beam tracking performance with high resolution and reduced training overhead.\",\"PeriodicalId\":326047,\"journal\":{\"name\":\"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012984\",\"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 96th Vehicular Technology Conference (VTC2022-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

下一代移动通信系统的目标是更高的数据速率、更低的时延和更高的节能性能,这就对时变移动通信中的快速波束跟踪提出了要求。随着大规模天线阵列技术的发展,利用有限的射频链可以形成高度定向的波束。然而,传统的穷举搜索方案开销大,难以适应移动毫米波环境。因此,快速波束跟踪方案已被公认为毫米波通信的关键技术。针对这一问题,本文提出了一种数据驱动的多臂波束跟踪方案,该方案在波束形成设计中不依赖信道和用户移动信息等先验知识,而是基于实时测量来选择达到目标服务质量的波束形成/组合矢量。为了进一步加快光束跟踪过程,建立了多臂光束,同时对多个空间方向进行采样。仿真结果表明,所提出的数据驱动多臂波束跟踪方法能够实现高分辨率、快速的波束跟踪性能和降低训练开销。
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
Data-Driven Multi-armed Beam Tracking for Mobile Millimeter-Wave Communication Systems
The goal of the next-generation mobile communication system is higher data-rates, lower latency, and higher energy-efficient performance, which bring about the demands for fast beam tracking in time-varying mobile communication. With the development of large-scale antenna array technology, highly directional beams can be formed with limited radio frequency chains. However, traditional exhaustive searching scheme has unacceptable overhead that leads to great challenges for applying to mobile millimeter-wave environments. Fast beam tracking scheme therefore has been recognized as a key technology in millimeter wave communication. To address this issue, this paper proposes a data-driven multi-armed beam tracking scheme to select the beamforming/combining vectors that achieve the target quality of service based on the real-time measurement, rather than the prior knowledge such as channel and user mobility information in beamforming design. To further speed up the beam tracking process, multi-armed beam is created to sample multiple spatial directions simultaneously. Simulation results show that the proposed data-driven multi-armed beam tracking method could achieve fast beam tracking performance with high resolution and reduced training overhead.
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
Non-Orthogonal Neighbor Election Random Access for Distributed 6G Wireless Networks Coverage Performance Analysis of Piggyback Mobile IoT in 5G Vehicular Networks Performance Comparison of Error-Control Schemes in Collaborative Multiple-Input Multiple-Output Systems Valuation-Aware Federated Learning: An Auction-Based Approach for User Selection Design of Robust LoS-MIMO Transmission in HAPS Feeder Link
×
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