Towards ISAC-Empowered mmWave Radars by Capturing Modulated Vibrations

IF 7.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Mobile Computing Pub Date : 2024-08-14 DOI:10.1109/TMC.2024.3443404
Kaiyan Cui;Qiang Yang;Leming Shen;Yuanqing Zheng;Fu Xiao;Jinsong Han
{"title":"Towards ISAC-Empowered mmWave Radars by Capturing Modulated Vibrations","authors":"Kaiyan Cui;Qiang Yang;Leming Shen;Yuanqing Zheng;Fu Xiao;Jinsong Han","doi":"10.1109/TMC.2024.3443404","DOIUrl":null,"url":null,"abstract":"Integrated Sensing and Communication (ISAC) has emerged as a promising technology for next-generation mobile networks. Towards ISAC, we develop \n<italic>mmRipple</i>\n that empowers commodity mmWave radars with communication capabilities through smartphone vibrations. In \n<italic>mmRipple</i>\n, a smartphone (transmitter) sends messages by modulating smartphone vibrations, while a mmWave radar (receiver) receives the messages by detecting and decoding the smartphone vibrations. By doing so, a smartphone user can not only be passively sensed by a mmWave radar, but also actively send messages to the radar without any hardware modifications. Although promising, the data rate of \n<italic>mmRipple</i>\n is limited by Morse-style communication. To address this, we present \n<italic>mmRipple+</i>\n, which leverages the Pulse Width and Amplitude Modulation (PWAM) technique and suppresses inter-symbol interference to enable faster communication. We prototype \n<italic>mmRipple</i>\n and \n<italic>mmRipple+</i>\n on commodity mmWave radars and different types of smartphones. Experimental results show that \n<italic>mmRipple</i>\n achieves an average vibration pattern recognition accuracy of 98.60% within a \n<inline-formula><tex-math>$ 2$</tex-math><inline-graphic></inline-formula>\n m communication range, and 97.74% within \n<inline-formula><tex-math>$ 3$</tex-math><inline-graphic></inline-formula>\n m. The maximum communication range extends to \n<inline-formula><tex-math>$ 5$</tex-math><inline-graphic></inline-formula>\n m. Meanwhile, \n<italic>mmRipple+</i>\n achieves a bit rate of 100 bps with a BER of less than 3%, improving the data rate by 4× over \n<italic>mmRippe</i>\n with the same symbol duration. This work pioneers smartphone-to-COTS mmWave radar communication via vibrations, unlocking diverse applications.","PeriodicalId":50389,"journal":{"name":"IEEE Transactions on Mobile Computing","volume":"23 12","pages":"13787-13803"},"PeriodicalIF":7.7000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Mobile Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10637248/","RegionNum":2,"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

Integrated Sensing and Communication (ISAC) has emerged as a promising technology for next-generation mobile networks. Towards ISAC, we develop mmRipple that empowers commodity mmWave radars with communication capabilities through smartphone vibrations. In mmRipple , a smartphone (transmitter) sends messages by modulating smartphone vibrations, while a mmWave radar (receiver) receives the messages by detecting and decoding the smartphone vibrations. By doing so, a smartphone user can not only be passively sensed by a mmWave radar, but also actively send messages to the radar without any hardware modifications. Although promising, the data rate of mmRipple is limited by Morse-style communication. To address this, we present mmRipple+ , which leverages the Pulse Width and Amplitude Modulation (PWAM) technique and suppresses inter-symbol interference to enable faster communication. We prototype mmRipple and mmRipple+ on commodity mmWave radars and different types of smartphones. Experimental results show that mmRipple achieves an average vibration pattern recognition accuracy of 98.60% within a $ 2$ m communication range, and 97.74% within $ 3$ m. The maximum communication range extends to $ 5$ m. Meanwhile, mmRipple+ achieves a bit rate of 100 bps with a BER of less than 3%, improving the data rate by 4× over mmRippe with the same symbol duration. This work pioneers smartphone-to-COTS mmWave radar communication via vibrations, unlocking diverse applications.
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
通过捕捉调制振动实现由 ISAC 驱动的毫米波雷达
综合传感与通信(ISAC)已成为下一代移动网络的一项前景广阔的技术。为了实现 ISAC,我们开发了 mmRipple,通过智能手机的振动使商品毫米波雷达具备通信能力。在 mmRipple 中,智能手机(发射器)通过调制智能手机振动来发送信息,而毫米波雷达(接收器)则通过检测和解码智能手机振动来接收信息。这样,智能手机用户不仅能被毫米波雷达被动感知,还能主动向雷达发送信息,而无需对硬件进行任何改动。mmRipple 虽然前景广阔,但其数据传输速率受到莫尔斯式通信的限制。为了解决这个问题,我们提出了 mmRipple+,它利用脉宽调制和调幅(PWAM)技术,抑制符号间干扰,实现更快的通信。我们在商品毫米波雷达和不同类型的智能手机上对毫米波和毫米波+进行了原型验证。实验结果表明,mmRipple 在 2 美元的通信范围内实现了 98.60% 的平均振动模式识别准确率,在 3 美元的通信范围内实现了 97.74% 的平均振动模式识别准确率,最大通信范围扩展到 5 美元。同时,mmRipple+ 实现了 100 bps 的比特率,误码率低于 3%,在符号持续时间相同的情况下,数据速率比 mmRippe 提高了 4 倍。这项工作开创了通过振动实现智能手机到 COTS 毫米波雷达通信的先河,开启了多种多样的应用。
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 Transactions on Mobile Computing
IEEE Transactions on Mobile Computing 工程技术-电信学
CiteScore
12.90
自引率
2.50%
发文量
403
审稿时长
6.6 months
期刊介绍: IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.
期刊最新文献
Charger Placement with Wave Interference t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving Exploitation and Confrontation: Sustainability Analysis of Crowdsourcing Bison : A Binary Sparse Network Coding based Contents Sharing Scheme for D2D-Enabled Mobile Edge Caching Network Argus: Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras
×
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