Power Allocation Strategy for Communication and Navigation Based on Multi-Beam LEO Satellite

This paper proposes a joint power allocation method for an integrated communication and positioning system in Low Earth Orbit (LEO) satellites, utilizing an innovative strategy based on spectral clustering and an improved genetic algorithm. Compared to traditional methods, the proposed approach first employs spectral clustering to group users, reducing intra-group interference and simplifying the power allocation problem. Then, an improved genetic algorithm is used to optimize the power allocation for positioning users, ensuring the Quality of Service (QoS) for communication users while maximizing positioning accuracy. Simulation results demonstrate that the proposed method significantly improves resource utilization efficiency in a multi-beam LEO satellite system, increasing the average positioning accuracy by 13% compared to traditional average power allocation methods.