Intelligent Spectrum Management for UAV Swarm with Multiple Combat Missions: A DQN-Based Solution

In unmanned aerial vehicles(UAV) swarm combat, efficient management of electromagnetic spectrum resources is crucial to ensure the operational performance of UAV swarm. However, in the presence of external radiations, the spectrum interference and competition between UAV onboard communication, radar, reconnaissance, and jamming services greatly affect the combat effectiveness of UAV swarm. Besides, because of the heterogeneity and coupling of different services, traditional spectrum allocation methods lack flexibility and occupy many computing resources in the central nodes. In this paper, by setting the threshold and the utility function for each service, we model the multi-service spectrum scheduling as a joint utility maximization problem. Then, we propose an intelligent and lightweight spectrum management method based on deep Q-network for multi-service cooperative spectrum scheduling. By dynamically and collaboratively allocating spectrum resources, conflicts within and between services are greatly reduced. Extensive simulations demonstrate that the proposed approach provides robust and efficient multi-service spectrum management.