Session
Session VI: Advanced Techonologies—Section 1
Abstract
Modelling satellite service systems and analysing the performance statistics systematically will provide a useful guide in designing satellite systems. A Satellite observation service consists of two stagesimage capture and image download. These two stages have been modelled and analysed individually in previous studies, assuming no memory constraint onboard the satellite. It is necessary to integrate two stages in one model with the memory constraint, so that overall system performance can be analysed and the system parameters could be carefully designed to achieve a certain quality of service. In this paper, a two-dimensional Markov chain model is proposed for modelling the small LEO imaging satellite system. The queue length probabilities and a performance metric, the average total waiting time, are analysed mathematically. The effects of system parameters such as memory capacity, download rate and request arrival rate are investigated accordingly. All analytical results presented are compared with simulation results. The limitation of this model is also discussed and future model revisions are outlined. From this work we can see the queueing model can reflect the general service performance and the system parameters’ effects on earth observation satellites, which is useful for system design and optimisation.
Presentation Slides
Performance Modelling of Imaging Service of Earth Observation Satellites with Two-dimensional Markov Chain
Modelling satellite service systems and analysing the performance statistics systematically will provide a useful guide in designing satellite systems. A Satellite observation service consists of two stagesimage capture and image download. These two stages have been modelled and analysed individually in previous studies, assuming no memory constraint onboard the satellite. It is necessary to integrate two stages in one model with the memory constraint, so that overall system performance can be analysed and the system parameters could be carefully designed to achieve a certain quality of service. In this paper, a two-dimensional Markov chain model is proposed for modelling the small LEO imaging satellite system. The queue length probabilities and a performance metric, the average total waiting time, are analysed mathematically. The effects of system parameters such as memory capacity, download rate and request arrival rate are investigated accordingly. All analytical results presented are compared with simulation results. The limitation of this model is also discussed and future model revisions are outlined. From this work we can see the queueing model can reflect the general service performance and the system parameters’ effects on earth observation satellites, which is useful for system design and optimisation.
