The dual-function radar communication (DFRC) is an essential technology in Internet of Vehicles (IoV). Consider that the road-side unit (RSU) employs the DFRC signals to sense the vehicles’ position state information (PSI), and communicates with the vehicles based on PSI. The objective of this paper is to minimize the maximum communication delay among all vehicles by considering the estimation accuracy constraint of the vehicles’ PSI and the transmit power constraint of RSU. By leveraging convex optimization theory, two iterative power allocation algorithms are proposed with different complexities and applicable scenarios. Simulation results indicate that the proposed power allocation algorithm converges and can significantly reduce the maximum transmit delay among vehicles compared with other schemes.

中文翻译：

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车联网中基于感知位置状态信息的最小-最大延迟优化


双功能雷达通信（DFRC）是车联网（IoV）的关键技术。考虑路侧单元（RSU）使用DFRC信号来感测车辆的位置状态信息（PSI），并基于PSI与车辆进行通信。本文的目标是通过考虑车辆PSI的估计精度约束和RSU的发射功率约束，最小化所有车辆之间的最大通信延迟。利用凸优化理论，提出了两种不同复杂度和适用场景的迭代功率分配算法。仿真结果表明，与其他方案相比，所提出的功率分配算法具有收敛性，并且能够显着降低车辆间的最大传输延迟。