Abstract: The current problems of poor real-time performance and low equipment utilization in open-pit mine truck scheduling require the proposal of more advanced and intelligent scheduling methods. A smart scheduling method for open-pit mining trucks that integrates 5G antennas and improved Dijkstra algorithm has been proposed to address such issues. The research adopts a vehicle terminal system based on 5G communication technology, which achieves stable signal coverage through dual frequency omnidirectional dipole antennas and supports the efficient operation of the intelligent dispatching system for mining cars. At the same time, a path planning method combining depth first search and Dijkstra's algorithm was proposed to ensure real-time scheduling of open-pit mining trucks and equipment utilization. The results show that the path curvature planned by the improved Dijkstra algorithm is only 0.13, and the amplitude of yaw angle change is only 0.26 rad, which is significantly lower than other algorithms. The path smoothness and stability are higher. In actual mining experiments, compared with the yield completion method, earliest loading method, and traffic flow planning method, the proposed method has a total waiting time of only 8.31 hours in an 8-hour shift operation, and a short full load travel distance of only 41.89 meters per ton of coal mine. This indicates that the intelligent scheduling method proposed in the study has significant advantages in communication efficiency, path planning, and scheduling effectiveness, providing an effective technical solution for intelligent scheduling of open-pit mining vehicles.