Near-Field Communication With Random Frequency Diverse Array

IF 5.5 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Wireless Communications Letters Pub Date : 2024-11-11 DOI:10.1109/LWC.2024.3495653
Linlin Sun;Zhilin Chen;Tao Huang;Feng Shu;Shihao Yan
{"title":"Near-Field Communication With Random Frequency Diverse Array","authors":"Linlin Sun;Zhilin Chen;Tao Huang;Feng Shu;Shihao Yan","doi":"10.1109/LWC.2024.3495653","DOIUrl":null,"url":null,"abstract":"In this letter, we explore the benefits of applying a random frequency diversity array (RFDA) in near-field communications. To this end, we first derive the small-scale channel power gains (SSCPGs) for near-field systems both with and without RFDA. Our analysis reveals that RFDA achieves a significantly reduction in SSCPG at non-targeted locations, demonstrating that a superior level of beamfocusing performance can be achieved by RFDA in near-filed communications. Furthermore, we also investigate the SSCPG of a far-field system incorporating RFDA, which highlights that RFDA offers a lower SSCPG at non-targeted locations in near-field systems than in far-field systems.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"14 1","pages":"213-217"},"PeriodicalIF":5.5000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10750030/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

In this letter, we explore the benefits of applying a random frequency diversity array (RFDA) in near-field communications. To this end, we first derive the small-scale channel power gains (SSCPGs) for near-field systems both with and without RFDA. Our analysis reveals that RFDA achieves a significantly reduction in SSCPG at non-targeted locations, demonstrating that a superior level of beamfocusing performance can be achieved by RFDA in near-filed communications. Furthermore, we also investigate the SSCPG of a far-field system incorporating RFDA, which highlights that RFDA offers a lower SSCPG at non-targeted locations in near-field systems than in far-field systems.
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
利用随机频率多样化阵列进行近场通信
在这封信中,我们探讨了在近场通信中应用随机频率分集阵列(RFDA)的好处。为此,我们首先推导了具有和不具有RFDA的近场系统的小尺度信道功率增益(sscpg)。我们的分析表明,RFDA在非目标位置显著降低了SSCPG,这表明RFDA在近场通信中可以实现更高水平的波束聚焦性能。此外,我们还研究了含有RFDA的远场系统的SSCPG,结果表明RFDA在近场系统中提供的非目标位置的SSCPG比远场系统低。
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
IEEE Wireless Communications Letters
IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering
CiteScore
12.30
自引率
6.30%
发文量
481
期刊介绍: IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.
期刊最新文献
Lightweight Domain-Adaptive Modulation Classification Under SNR and Channel Mismatch Fairness-aware ODDM Design for Secrecy Rate Maximization Among Untrusted Users Scalable Deep Reinforcement Learning-based User Pairing for Cell-Free MIMO Network A Novel Lightweight Hybrid MLP and Quantum Neural Network Model for Bit Error Rate Prediction in NOMA-Enabled Visible Light Communication Systems Sum-Rate Maximization for FRIS-enabled NOMA Communications
×
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