  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.
