User Position-Driven Resource Allocation for Beam Hopping in Low Earth Orbit Satellite

In low earth orbit (LEO) satellite communications, beam-hopping technology has gained significant attention in recent years due to its ability to dynamically adjust the spatial and temporal allocation of beams, thereby maximizing resource utilization and improving system performance. To maximize the aggregate link rate, increase the number of served users, and achieve beam load balancing, we propose a user position-driven beam hopping resource allocation strategy. First, we analyze the communication link between the LEO satellite and its users. Then, a joint beam positioning and transmission power control optimization algorithm based on particle swarm optimization (JBPTPC- PSO) is introduced. This algorithm dynamically adjusts the beam positioning center and transmission power based on the spatial distribution of ground users, ultimately forming user clustering results through joint optimization. Each cluster center acts as the beam's positioning center, with transmission power distributed according to the user distribution within that cluster. Simulation results demonstrate that this algorithm significantly outperforms the K-means algorithm in terms of aggregate link rate, load balancing, and the number of users served.