Dynamic Beam Hopping of Multi-beam Satellite Based on Genetic Algorithm

Satellite communication system has received extensive attention due to its authoritative coverage and communication capabilities. With the increasing demand for satellite communication system capacity and the continuous consumption of spectrum resources, multi-beam satellite communication systems have been proposed. However, due to the high cost of transmitters, researchers have proposed beam hopping technology. Multi-beam satellites use fewer beams to cover the entire area through time-division multiplexing method to achieve beam hopping. Due to the different spatial and temporal distribution of ground users, the traffic demand between ground cells is unbalanced. Based on the unevenly distributed service requests, this paper studies the dynamic beam hopping method to improve resource utilization based on genetic algorithm (GA). Genetic algorithm adaptively adjusts the search space in the process of finding the optimal solution and is an efficient and parallel method that can obtain the optimal global solution. On this basis, this paper also applies a multi-action selection method based on time-division multiplexing, which effectively reduces the complexity of the algorithm. Simulation results show that the proposed method can achieve intelligent beam hopping to meet user needs and can effectively improve system performance.