Modeling and Analysis of Static Frequency Planning on Multi-objective Optimization

Frequency planning can reduce electromagnetic interference between equipment through comprehensive scheduling, which is of great significance for the electromagnetic spectrum operation. This paper investigates multi-objective optimization method for operational frequency planning, including multi-objective mathematical models and optimization algorithms. The model considers the cooperative relationship between equipment, in which the total interference conflict, frequency demand, and the spectrum occupancy are taken as optimization objectives. The proposed algorithm integrates Tent mapping and improved non dominated sorting to overcome the shorting of exploration and exploitation abilities of Non-dominated Sorting Genetic Algorithm-II (NSGAII). Finally, the effectiveness of the model is verified after analysis, and the proposed algorithm produces high quality solutions as proved based on simulation experiments.