Residential College | false |
Status | 已發表Published |
Intelligent Surface Enabled Sensing-Assisted Communication | |
Meng, Kaitao1; Wu, Qingqing2; Chen, Wen2; Li, Deshi3 | |
2023 | |
Conference Name | ICC 2023 - IEEE International Conference on Communications |
Source Publication | IEEE International Conference on Communications |
Volume | 2023-May |
Pages | 4236-4241 |
Conference Date | 28/05/2023 - 01/06/2023 |
Conference Place | Rome, ITALY |
Country | Italy |
Author of Source | Zorzi M., Tao M., Saad W. |
Publisher | IEEE, 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. |
DOI | 10.1109/ICC45041.2023.10279221 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Telecommunications |
WOS Subject | Telecommunications |
WOS ID | WOS:001094862604058 |
Scopus ID | 2-s2.0-85178293821 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Meng, Kaitao |
Affiliation | 1.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 Affilication | University of Macau |
Corresponding Author Affilication | University 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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