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Sensing-Assisted Communication in Vehicular Networks with Intelligent Surface
Meng, Kaitao1; Wu, Qingqing2; Chen, Wen2; Li, Deshi3
2024-01
Source PublicationIEEE Transactions on Vehicular Technology
ISSN0018-9545
Volume73Issue:1Pages:876-893
Abstract

The recent development of integrated sensing and communications (ISAC) technology offers new opportunities to meet high-Throughput and low-latency communication as well as high-resolution localization requirements in vehicular networks. However, considering the limited transmit power of the road site units (RSUs) and the relatively small radar cross section (RCS) of vehicles with random reflection coefficients, the power of echo signals may be too weak to be utilized for effective target detection and tracking. Moreover, high-frequency signals usually suffer from large fading loss when penetrating vehicles, which seriously degrades the communication service quality of users inside vehicles. To handle this issue, we propose a novel sensing-Assisted communication scheme by employing an intelligent omni-surface (IOS) on the surface of vehicles to enhance both sensing and communication (SC) performance. To this end, we first propose a two-stage ISAC protocol, including the joint SC stage and the communication-only stage, to fulfil more efficient communication performance improvements benefited from sensing. The achievable communication rate maximization problem is formulated by jointly optimizing the transmit beamforming, the IOS phase shifts, and the duration of the joint SC stage. However, solving this ISAC optimization problem is highly non-Trivial since inaccurate estimation and measurement information renders the achievable rate lack of closed-form expression. To handle this issue, we first derive a closed-form expression of the approximate achievable rate under uncertain location information, and then unveil a sufficient and necessary condition for the existence of the joint SC stage to offer useful insights for practical system design. Moreover, two typical scenarios including interference-limited and noise-limited cases are analyzed to provide a performance bound and a low-complexity algorithm for the considered systems. Finally, simulation results demonstrate the effectiveness of the proposed sensing-Assisted communication scheme in achieving a higher achievable rate with lower transmit power requirements.

KeywordIntelligent Surface Integrated Sensing And Communication Sensing-assisted Communication Beamforming Phase Shift Design Vehicular Networks
DOI10.1109/TVT.2023.3307100
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Telecommunications ; Transportation
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS IDWOS:001166813500087
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85168719896
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Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorWu, Qingqing
Affiliation1.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China
2.Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 201210, China
3.Electronic Information School, Wuhan University, Wuhan 430072, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Meng, Kaitao,Wu, Qingqing,Chen, Wen,et al. Sensing-Assisted Communication in Vehicular Networks with Intelligent Surface[J]. IEEE Transactions on Vehicular Technology, 2024, 73(1), 876-893.
APA Meng, Kaitao., Wu, Qingqing., Chen, Wen., & Li, Deshi (2024). Sensing-Assisted Communication in Vehicular Networks with Intelligent Surface. IEEE Transactions on Vehicular Technology, 73(1), 876-893.
MLA Meng, Kaitao,et al."Sensing-Assisted Communication in Vehicular Networks with Intelligent Surface".IEEE Transactions on Vehicular Technology 73.1(2024):876-893.
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