Performance Analysis of Integrated Space-Ground Network Based on Stochastic Network Calculus
This paper addresses the challenges of analyzing the performance of the integrated space-ground net-work due to the long-range correlation of traffic and complex signal attenuation of space links.We employed the ran-dom network calculus in the form of moment generating functions as a research tool to map the integrated space-ground network to a tandem queuing model.By constructing the aggregate random arrival curve of self-similar traffic and the random service curve of Gilbert's channel,we evaluated the performance boundary of end-to-end integrated space-ground network based on self-similar traffic.The study also explored the impact of factors such as default probability,service rate,and Hurst parameter on the end-to-end performance boundary of the integrated network through numerical analysis.The results of this paper provide guidance for the traffic control and buffer management of the space-ground integrated network,which is helpful for further performance optimization.