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The dual-function radar communication (DFRC) is an essential technology inInternet of Vehicles (IoV). Consider that the road-side unit (RSU) employs theDFRC signals to sense the vehicles' position state information (PSI), andcommunicates with the vehicles based on PSI. The objective of this paper is tominimize the maximum communication delay among all vehicles by considering theestimation accuracy constraint of the vehicles' PSI and the transmit powerconstraint of RSU. By leveraging convex optimization theory, two iterativepower allocation algorithms are proposed with different complexities andapplicable scenarios. Simulation results indicate that the proposed powerallocation algorithm converges and can significantly reduce the maximumtransmit delay among vehicles compared with other schemes.

Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles