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Integrated Sensing and Communication Enabled Multiple Base Stations Cooperative Sensing Towards 6G
Open accessAbstract
Driven by the intelligent applications of sixth-generation (6G) mobile communication systems such as smart city and autonomous driving, which connect the physical and cyber space, the integrated sensing and communication (ISAC) brings a revolutionary change to the base stations (BSs) of 6G by integrating radar sensing and communication in the same hardware and wireless resource. However, with the requirements of long-range and accurate sensing in the applications of smart city and autonomous driving, the ISAC enabled single BS still has a limitation in the sensing range and accuracy. With the networked infrastructures of mobile communication systems, multi-BS cooperative sensing is a natural choice satisfying the requirement of long-range and accurate sensing. In this article, the framework of multi-BS cooperative sensing is proposed, breaking through the limitation of single-BS sensing. The enabling technologies, including unified ISAC performance metrics, ISAC signal design and optimization, interference management, cooperative sensing algorithms, are introduced in details. The performance evaluation results are provided to verify the effectiveness of multi-BS cooperative sensing schemes. With ISAC enabled multi-BS cooperative sensing (ISAC-MCS), the intelligent infrastructures connecting physical and cyber space can be established, ushering the era of 6G promoting the intelligence of everything.
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Implementing smart power management systems, such as dynamic voltage and frequency scaling (DVFS), further enhances the overall energy efficiency of vehicular hardware.
“Additionally, implementing smart power management systems, such as dynamic voltage and frequency scaling (DVFS), further enhances the overall energy efficiency of vehicular hardware.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [147]
Employing processors designed for energy efficiency, such as the ARM Cortex-M series, can significantly reduce power consumption in vehicular units.
“For instance, employing processors designed for energy efficiency, such as the ARM Cortex-M series, can significantly reduce power consumption in vehicular units.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [147]
Leveraging communication modules with low-power modes, like LoRa, ensures efficient energy utilization during data transmissions.
“Similarly, leveraging communication modules with low-power modes, like LoRa (Long Range), ensures efficient energy utilization during data transmissions.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [147]
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Research works printed but not linked: 11
- 10.1109/JPROC.2021.3061701 · DOI
- 10.1109/MNET.010.2100152 · DOI
- 10.1109/MVT.2020.3037430 · DOI
- 10.1109/MWC.005.2200214 · DOI
- 10.1109/TVT.2020.3046438 · DOI
- 10.1049/cp.2017.0503 · DOI
- 10.1109/TVT.2022.3184182 · DOI
- 10.1109/TSP.2021.3057499 · DOI
- 10.1109/mcs.2010.938485 · DOI
- 10.1109/TWC.2018.2803045 · DOI
- 10.1109/TSP.2018.2887186 · DOI
Cited by
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Annu, & Rajalakshmi, P. (2024) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2024.3368240 · Cited by 73
Metadata
- Authors
- Wei, Z., Jiang, W., Feng, Z., Wu, H., Zhang, N., Han, K., Xu, R., & Zhang, P.
- Affiliations
- Beijing University of Posts and Telecommunications (CN)
- University of Windsor (CA)
- China Academy of Information and Communications Technology (CN)
- Venue
- IEEE Network
- Published
- 2024-07
- Volume
- 38
- Issue
- 4
- Pages
- 207-215
- ISSN
- 0890-8044 (ISSN-L)
- 1558-156X
- OpenAlex
- W4387415158
- Cited by
- 105
- References
- 0
- Citations by year
- 2026: 30 · 2025: 54 · 2024: 21
- FWCI
- 12.77
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Network (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Natural Science Foundation of China (62271081)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Keywords
- integrated sensing and communication, 6G, radar sensing, interference management, smart cities, autonomous driving
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