This article analyzes the interference issues between radar and radar, radar and communication, and communication and communication in a vehicle network equipped with a radar communication integrated system. To improve the signal-to-interference-plus-noise ratio (SINR) of radar signals while ensuring communication quality, we provide an optimized expression for the signal-to-noise ratio of radar signals constrained by communication quality. To solve mixed integer nonlinear programming optimization problems, Q-learning algorithm is introduced. In our Q-learning algorithm, based on the action state space established by transmission power and channel resources, the optimization problem is transformed into solving using a reward function. The evaluation results indicate that compared with existing solutions, the proposed algorithm can more effectively improve the total SINR of radar signals and the throughput of communication signals.

The integration of automotive radar communication is the future development trend and will be installed on more and more vehicles, which will cause serious interference to radar detection and communication, seriously affecting the detection accuracy of radar and communication reliability. This article analyzes the interference models between radar and radar, radar and communication, and communication and communication. To improve the anti-interference ability of the network, the interference is transformed into a signal-to-noise ratio optimization model constrained by resources and power. Use reinforcement learning algorithms to find the optimal solution to minimize system interference. We use the vehicle position, as well as the signal-to-noise ratio of radar and communication, as the state and action space, and the total throughput increment serves as the reward function for Q-learning, and obtain the optimal joint optimization strategy through training. The evaluation results indicate that compared with existing schemes, the proposed algorithm can more effectively reduce radar and communication interference, thereby improving radar detection accuracy and communication throughput.