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.
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.