EPRSA: interference resource scheduling algorithms for air-ground communication networks

In recent years, the rapid development of air-ground communication networks has posed challenges to traditional interference methods. However, existing research rarely involves joint air-ground distributed communication interference, and there is a lack of the ability to schedule jammers with limited energy, a limited quantity, and different types. Based on this, this paper proposes the interference link margin in the mathematical model and normalizes and quantifies the optimization objectives. Strategies such as cycle and initial quantity selection, elastic initialization, double tabu power scheduling, and jammer conversion are designed to improve the scheduling ability of the Elastic Parallel Random Search Algorithm (EPRSA) in terms of system operation duration and interference cost. The experimental results show that EPRSA can increase the success rate of searching for interference schemes by 15.4%, reduce the number of jammers by 26.4%, enhance the type scheduling ability significantly, decrease the cost by 31%, and increase the system operation duration by 45.3%.