Enabling Joint Communication and Radar Sensing in Mobile Networks-A Survey
Mobile network is evolving from a communication-only network towards one with joint communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile network (PMN). Radio sensing here refers to information retrieval from received mobile signals for objects of interest in the...
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Published in | IEEE Communications surveys and tutorials Vol. 24; no. 1; pp. 306 - 345 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
2022
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Subjects | |
Online Access | Get full text |
ISSN | 2373-745X |
DOI | 10.1109/COMST.2021.3122519 |
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Abstract | Mobile network is evolving from a communication-only network towards one with joint communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile network (PMN). Radio sensing here refers to information retrieval from received mobile signals for objects of interest in the environment surrounding the radio transceivers, and it may go beyond the functions of localization, tracking, and object recognition of traditional radar. In PMNs, JCAS integrates sensing into communications, sharing a majority of system modules and the same transmitted signals. The PMN is expected to provide a ubiquitous radio sensing platform and enable a vast number of novel smart applications, whilst providing non-compromised communications. In this paper, we present a broad picture of the motivation, methodologies, challenges, and research opportunities of realizing PMN, by providing a comprehensive survey for systems and technologies developed mainly in the last ten years. Beginning by reviewing the work on coexisting communication and radar systems, we highlight their limits on addressing the interference problem, and then introduce the JCAS technology. We then set up JCAS in the mobile network context and envisage its potential applications. We continue to provide a brief review of three types of JCAS systems, with particular attention to their differences in design philosophy. We then introduce a framework of PMN, including the system platform and infrastructure, three types of sensing operations, and signals usable for sensing. Subsequently, we discuss required system modifications to enable sensing on current communication-only infrastructure. Within the context of PMN, we review stimulating research problems and potential solutions, organized under nine topics: performance bounds, waveform optimization, antenna array design, clutter suppression, sensing parameter estimation, resolution of sensing ambiguity, pattern analysis, networked sensing under cellular topology, and sensing-assisted communications. We conclude the paper by listing key open research problems for the aforementioned topics and sharing some lessons that we have learned. |
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AbstractList | Mobile network is evolving from a communication-only network towards one with joint communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile network (PMN). Radio sensing here refers to information retrieval from received mobile signals for objects of interest in the environment surrounding the radio transceivers, and it may go beyond the functions of localization, tracking, and object recognition of traditional radar. In PMNs, JCAS integrates sensing into communications, sharing a majority of system modules and the same transmitted signals. The PMN is expected to provide a ubiquitous radio sensing platform and enable a vast number of novel smart applications, whilst providing non-compromised communications. In this paper, we present a broad picture of the motivation, methodologies, challenges, and research opportunities of realizing PMN, by providing a comprehensive survey for systems and technologies developed mainly in the last ten years. Beginning by reviewing the work on coexisting communication and radar systems, we highlight their limits on addressing the interference problem, and then introduce the JCAS technology. We then set up JCAS in the mobile network context and envisage its potential applications. We continue to provide a brief review of three types of JCAS systems, with particular attention to their differences in design philosophy. We then introduce a framework of PMN, including the system platform and infrastructure, three types of sensing operations, and signals usable for sensing. Subsequently, we discuss required system modifications to enable sensing on current communication-only infrastructure. Within the context of PMN, we review stimulating research problems and potential solutions, organized under nine topics: performance bounds, waveform optimization, antenna array design, clutter suppression, sensing parameter estimation, resolution of sensing ambiguity, pattern analysis, networked sensing under cellular topology, and sensing-assisted communications. We conclude the paper by listing key open research problems for the aforementioned topics and sharing some lessons that we have learned. |
Author | Huang, Xiaojing Guo, Y. Jay Wu, Kai Rahman, Md. Lushanur Yuan, Jinhong Chen, Shanzhi Zhang, J. Andrew |
Author_xml | – sequence: 1 givenname: J. Andrew orcidid: 0000-0002-6102-3762 surname: Zhang fullname: Zhang, J. Andrew email: andrew.zhang@uts.edu.au organization: Global Big Data Technologies Centre and the School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia – sequence: 2 givenname: Md. Lushanur orcidid: 0000-0002-0665-4852 surname: Rahman fullname: Rahman, Md. Lushanur email: lushanur.rahman@gmail.com organization: Global Big Data Technologies Centre and the School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia – sequence: 3 givenname: Kai orcidid: 0000-0003-1298-6404 surname: Wu fullname: Wu, Kai email: kai.wu@uts.edu.au organization: Global Big Data Technologies Centre and the School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia – sequence: 4 givenname: Xiaojing orcidid: 0000-0001-6869-5732 surname: Huang fullname: Huang, Xiaojing email: xiaojing.huang@uts.edu.au organization: Global Big Data Technologies Centre and the School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia – sequence: 5 givenname: Y. Jay orcidid: 0000-0001-6008-9682 surname: Guo fullname: Guo, Y. Jay email: jay.guo@uts.edu.au organization: Global Big Data Technologies Centre and the School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia – sequence: 6 givenname: Shanzhi orcidid: 0000-0002-5409-8168 surname: Chen fullname: Chen, Shanzhi email: chensz@cict.com organization: China Academy of Telecommunications Technology, Beijing, China – sequence: 7 givenname: Jinhong orcidid: 0000-0002-5794-493X surname: Yuan fullname: Yuan, Jinhong email: j.yuan@unsw.edu.au organization: Department of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia |
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ContentType | Journal Article |
DBID | 97E RIA RIE |
DOI | 10.1109/COMST.2021.3122519 |
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Snippet | Mobile network is evolving from a communication-only network towards one with joint communication and radar/radio sensing (JCAS) capabilities, that we call... |
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SubjectTerms | Clutter suppression dual-functional radarcommunications (DFRC) integrated sensing and communications (ISAC) Interference Internet of Things joint communication and radar/radio sensing (JCAS) joint communications and radar (JCR) joint radarcommunications (JRC) mobile networks networked sensing Radar radar-communications (RadCom) Radio transmitters Receivers sensing parameter estimation sensing-assisted communication Sensors waveform optimization Wireless fidelity |
Title | Enabling Joint Communication and Radar Sensing in Mobile Networks-A Survey |
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