Integrated sensing and communication‐promoted beam tracking and coverage for complex vehicular networks
Abstract The future vehicle‐to‐everything (V2X) scenarios greatly call for reliable and efficient communication links between roadside units (RSUs) and vehicles. Integrated sensing and communication (ISAC) represents one of the key candidate technologies for 6G, which provides new solutions for this...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-09-01
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| Series: | IET Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cmu2.12654 |
| _version_ | 1797729192433942528 |
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| author | Yifeng Zhao Xuan Huang Ning Chen Haoran Liu Lianfen Huang |
| author_facet | Yifeng Zhao Xuan Huang Ning Chen Haoran Liu Lianfen Huang |
| author_sort | Yifeng Zhao |
| collection | DOAJ |
| description | Abstract The future vehicle‐to‐everything (V2X) scenarios greatly call for reliable and efficient communication links between roadside units (RSUs) and vehicles. Integrated sensing and communication (ISAC) represents one of the key candidate technologies for 6G, which provides new solutions for this problem. In this paper, the beam tracking design for V2X communication is investigated by exploiting the ISAC technique, where the RSU uses the echoes of the ISAC signals to estimate the motion parameters of the vehicles. Compared with traditional feedback‐based beam tracking, the proposed method can reduce the overall signaling costs and improve communication robustness. Furthermore, to achieve high accuracy and low latency for beam alignment, a Trajectory Adaptive Unscented Kalman Filter (TA‐UKF) beam tracking algorithm is proposed, which obtains the optimal state transition model following the change of the vehicle state. Considering practical application scenarios, an ISAC‐based adaptive beam coverage (ISAC‐AC) scheme is further developed for the beam tracking of extended targets, which can achieve the beam misalignment of vehicles in practical scenarios. Numerical results demonstrate that the proposed beam tracking and coverage strategies outperform baseline approaches. |
| first_indexed | 2024-03-12T11:25:28Z |
| format | Article |
| id | doaj.art-c9a7a4c293ab4cff97098945272dc4cd |
| institution | Directory Open Access Journal |
| issn | 1751-8628 1751-8636 |
| language | English |
| last_indexed | 2024-03-12T11:25:28Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj.art-c9a7a4c293ab4cff97098945272dc4cd2023-09-01T09:09:12ZengWileyIET Communications1751-86281751-86362023-09-0117151791180510.1049/cmu2.12654Integrated sensing and communication‐promoted beam tracking and coverage for complex vehicular networksYifeng Zhao0Xuan Huang1Ning Chen2Haoran Liu3Lianfen Huang4School of Informatics Xiamen University XiamenChinaSchool of Informatics Xiamen University XiamenChinaSchool of Informatics Xiamen University XiamenChinaSchool of Informatics Xiamen University XiamenChinaSchool of Informatics Xiamen University XiamenChinaAbstract The future vehicle‐to‐everything (V2X) scenarios greatly call for reliable and efficient communication links between roadside units (RSUs) and vehicles. Integrated sensing and communication (ISAC) represents one of the key candidate technologies for 6G, which provides new solutions for this problem. In this paper, the beam tracking design for V2X communication is investigated by exploiting the ISAC technique, where the RSU uses the echoes of the ISAC signals to estimate the motion parameters of the vehicles. Compared with traditional feedback‐based beam tracking, the proposed method can reduce the overall signaling costs and improve communication robustness. Furthermore, to achieve high accuracy and low latency for beam alignment, a Trajectory Adaptive Unscented Kalman Filter (TA‐UKF) beam tracking algorithm is proposed, which obtains the optimal state transition model following the change of the vehicle state. Considering practical application scenarios, an ISAC‐based adaptive beam coverage (ISAC‐AC) scheme is further developed for the beam tracking of extended targets, which can achieve the beam misalignment of vehicles in practical scenarios. Numerical results demonstrate that the proposed beam tracking and coverage strategies outperform baseline approaches.https://doi.org/10.1049/cmu2.126546Ginternet of thingsmobile communication |
| spellingShingle | Yifeng Zhao Xuan Huang Ning Chen Haoran Liu Lianfen Huang Integrated sensing and communication‐promoted beam tracking and coverage for complex vehicular networks IET Communications 6G internet of things mobile communication |
| title | Integrated sensing and communication‐promoted beam tracking and coverage for complex vehicular networks |
| title_full | Integrated sensing and communication‐promoted beam tracking and coverage for complex vehicular networks |
| title_fullStr | Integrated sensing and communication‐promoted beam tracking and coverage for complex vehicular networks |
| title_full_unstemmed | Integrated sensing and communication‐promoted beam tracking and coverage for complex vehicular networks |
| title_short | Integrated sensing and communication‐promoted beam tracking and coverage for complex vehicular networks |
| title_sort | integrated sensing and communication promoted beam tracking and coverage for complex vehicular networks |
| topic | 6G internet of things mobile communication |
| url | https://doi.org/10.1049/cmu2.12654 |
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