Residential College | false |
Status | 已發表Published |
Sensing-Assisted Communication in Vehicular Networks with Intelligent Surface | |
Meng, Kaitao1; Wu, Qingqing2; Chen, Wen2; Li, Deshi3 | |
2024-01 | |
Source Publication | IEEE Transactions on Vehicular Technology |
ISSN | 0018-9545 |
Volume | 73Issue: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. |
Keyword | Intelligent Surface Integrated Sensing And Communication Sensing-assisted Communication Beamforming Phase Shift Design Vehicular Networks |
DOI | 10.1109/TVT.2023.3307100 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Engineering ; Telecommunications ; Transportation |
WOS Subject | Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology |
WOS ID | WOS:001166813500087 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85168719896 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Wu, Qingqing |
Affiliation | 1.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 Affilication | University 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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