Analysis of Signal Integration Techniques and System Performance in Multi-Level Satellite Communication Networks

Abstract

Satellite communication has gradually become an indispensable part of the global communication system because of its wide coverage, large transmission capacity and wide frequency band. This topic centers on the signal integration technology of satellite communication network for in-depth discussion, takes satellite communication resource allocation as the entry point, combs the communication resources and network state in satellite system, introduces a business rating model formula based on communication service demand, designs a communication resource allocation algorithm strategy for satellite system based on genetic algorithm based on network and business value characteristics, and conducts simulation test and system performance analysis. The results reveal the superiority of the genetic algorithm-based resource allocation method in computational complexity, task matching and matching rate, which improves the matching rate and matching update rate by 9% and 4% over the comparison method. Meanwhile, the system service satisfaction under this resource allocation method reaches 0.55 to 0.60, and the system throughput and utilization rate obtain 8% to 13% and 16% to 31% improvement, respectively, indicating that the resource allocation method based on service rating can effectively improve the overall performance of the satellite communication network system.