The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey
Open accessAbstract
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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Cites
A Survey of 5G Network: Architecture and Emerging Technologies
Gupta, A., & Jha, R. K. (2015) · IEEE Access · doi:10.1109/access.2015.2461602 · Cited by 2,420
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
Gong, S., Lu, X., Hoang, D. T., Niyato, D., Shu, L., Kim, D. I., & Liang, Y.-C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3004197 · Cited by 1,035
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
Tang, F., Kawamoto, Y., Kato, N., & Liu, J. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2954595 · Cited by 620
Millimeter-Wave Communication with Out-of-Band Information
Gonzalez-Prelcic, N., Ali, A., Va, V., & Heath, R. W. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700207 · Cited by 137 · cited 1×
“Techniques exploiting the propagation information of sub-6GHz signals have been proposed for improving beamforming speed for mmWave communications in mobile networks [219].”
Background
Cited by
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
Liu, F., Cui, Y., Masouros, C., Xu, J., Han, T. X., Eldar, Y. C., & Buzzi, S. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3156632 · Cited by 3,857
On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds
Wang, C.-X., You, X., Gao, X., Zhu, X., Li, Z., Zhang, C., Wang, H., Huang, Y., Chen, Y., Haas, H., et al. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3249835 · Cited by 2,336
Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey
Wei, Z., Qu, H., Wang, Y., Yuan, X., Wu, H., Du, Y., Han, K., Zhang, N., & Feng, Z. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3235618 · Cited by 686
Liu, R., Li, M., Luo, H., Liu, Q., & Swindlehurst, A. L. (2023) · IEEE Wireless Communications · doi:10.1109/mwc.002.2200206 · Cited by 325
A Survey of Beam Management for mmWave and THz Communications Towards 6G
Xue, Q., Ji, C., Ma, S., Guo, J., Xu, Y., Chen, Q., & Zhang, W. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3361991 · Cited by 280
Metadata
- Authors
- Zhang, J. A., Rahman, M. L., Wu, K., Huang, X., Guo, Y. J., Chen, S., & Yuan, J.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2022
- Volume
- 24
- Issue
- 1
- Pages
- 306-345
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W3211270128
- Cited by
- 1,091
- References
- 4
- FWCI
- 74.21
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, J. A., Rahman, M. L., Wu, K., Huang, X., Guo, Y. J., Chen, S., & Yuan, J. (2022). Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2021.3122519
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