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Intelligent Surface Enabled Sensing-Assisted Communication
Meng, Kaitao1; Wu, Qingqing2; Chen, Wen2; Li, Deshi3
2023
Conference NameICC 2023 - IEEE International Conference on Communications
Source PublicationIEEE International Conference on Communications
Volume2023-May
Pages4236-4241
Conference Date28/05/2023 - 01/06/2023
Conference PlaceRome, ITALY
CountryItaly
Author of SourceZorzi M., Tao M., Saad W.
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

Vehicle-to-everything (V2X) communication is expected to support many promising applications in next-generation wireless networks. The recent development of integrated sensing and communications (ISAC) technology offers new opportunities to meet the stringent sensing and communication (S&C) requirements in V2X networks. However, considering the relatively small radar cross section (RCS) of the vehicles and the limited transmit power of the road site units (RSUs), the power of echoes may be too weak to achieve effective target detection and tracking. To handle this issue, we propose a novel sensing-assisted communication scheme by employing an intelligent omni-surface (IOS) on the surface of the vehicle. First, a two-phase ISAC protocol, including the S&C phase and the communication-only phase, was presented to maximize the throughput by jointly optimizing the IOS phase shifts and the sensing duration. Then, we derive a closed-form expression of the achievable rate which achieves a good approximation. Furthermore, a sufficient and necessary condition for the existence of the S&C phase is derived to provide useful insights for practical system design. Simulation results demonstrate the effectiveness of the proposed sensing-assisted communication scheme in achieving a high throughput with low transmit power requirements.

DOI10.1109/ICC45041.2023.10279221
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaTelecommunications
WOS SubjectTelecommunications
WOS IDWOS:001094862604058
Scopus ID2-s2.0-85178293821
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorMeng, Kaitao
Affiliation1.University of Macau, State Key Laboratory of Internet of Things for Smart City, Macau, Macao
2.Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
3.Electronic Information School, Wuhan University, Wuhan, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Meng, Kaitao,Wu, Qingqing,Chen, Wen,et al. Intelligent Surface Enabled Sensing-Assisted Communication[C]. Zorzi M., Tao M., Saad W.:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2023, 4236-4241.
APA Meng, Kaitao., Wu, Qingqing., Chen, Wen., & Li, Deshi (2023). Intelligent Surface Enabled Sensing-Assisted Communication. IEEE International Conference on Communications, 2023-May, 4236-4241.
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