Joint Optimization of Deployment and Parameters for Roadside Radars in Road Environments

Jian Kai Chen*, Ming Chun Lee, Po Chun Kang, Ta Sung Lee

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

To enable the intelligent transportation systems (ITSs), using radars to monitor the road environments has recently drawn attention. However, the optimization of deployment and parameters for radars in road environments has not been well-explored. To fill this gap, we in this paper investigate the joint radar deployment and parameter optimization approach for radar networks in road environments. Specifically, considering the radar FoVs, signal and interference powers, static blockage, and the impact of radar configuration, we formulate a coverage reward maximization problem that helps optimize the configuration parameters, pan angles, transmit powers, frequency band allocation, and locations of radars. Then, based on the problem, we develop an optimization approach by first decomposing the problem into subproblems, and then conducting optimization by iteratively solving the subproblems. Simulation results show that our proposed approach can outperform the reference schemes.

原文English
主出版物標題2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350329285
DOIs
出版狀態Published - 2023
事件98th IEEE Vehicular Technology Conference, VTC 2023-Fall - Hong Kong, China
持續時間: 10 10月 202313 10月 2023

出版系列

名字IEEE Vehicular Technology Conference
ISSN(列印)1550-2252

Conference

Conference98th IEEE Vehicular Technology Conference, VTC 2023-Fall
國家/地區China
城市Hong Kong
期間10/10/2313/10/23

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