Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey
Open accessAbstract
Integrated sensing and communication (ISAC) has the advantages of efficient spectrum utilization and low hardware cost. It is promising to be implemented in the fifth-generation-advanced (5G-A) and sixth-generation (6G) mobile communication systems, having the potential to be applied in intelligent applications requiring both communication and high-accurate sensing capabilities. As the fundamental technology of ISAC, ISAC signal directly impacts the performance of sensing and communication. This article systematically reviews the literature on ISAC signals from the perspective of mobile communication systems, including ISAC signal design, ISAC signal processing, and ISAC signal optimization. We first review the ISAC signal design based on 5G, 5G-A, and 6G mobile communication systems. Then, radar signal processing methods are reviewed for ISAC signals, mainly including the channel information matrix method, spectrum lines estimator method, and super-resolution method. In terms of signal optimization, we summarize peak-to-average power ratio (PAPR) optimization, interference management, and adaptive signal optimization for ISAC signals. This article may provide the guidelines for the research of ISAC signals in 5G-A and 6G mobile communication systems.
Integrity signals
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Integrating sensor data with communication protocols enables vehicles to make informed decisions, improving safety and reliability.
“Integrating sensor data with communication protocols enables vehicles to make informed decisions, improving safety and reliability.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [148]
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Annu, & Rajalakshmi, P. (2024) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2024.3368240 · Cited by 73 · see citing works
- Authors
- Wei, Z., Qu, H., Wang, Y., Yuan, X., Wu, H., Du, Y., Han, K., Zhang, N., & Feng, Z.
- Affiliations
- Beijing University of Posts and Telecommunications (CN)
- Data61 (AU)
- University of Science and Technology of China (CN)
- China Academy of Information and Communications Technology (CN)
- University of Windsor (CA)
- Venue
- IEEE Internet of Things Journal
- Published
- 2023-07-01
- Volume
- 10
- Issue
- 13
- Pages
- 11068-11092
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W4313886683
- Cited by
- 686
- References
- 0
- Citations by year
- 2026: 205 · 2025: 306 · 2024: 147 · 2023: 28
- FWCI
- 83.44
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Key Research and Development Program of China (2020YFA0711302)
- National Natural Science Foundation of China (62271081, U21B2014, 92267202, 62271076)
- Young Elite Scientists Sponsorship Program by CAST (2020QNRC001, 2022QNRC001)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
- Physical Sciences › Engineering › Aerospace Engineering › Advanced SAR Imaging Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Keywords
- integrated sensing and communication, 6G, radar signal processing, super-resolution, peak-to-average power ratio, interference management, spectrum utilization
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