Performance Evolution in Satellite Communication Networks Along with Markovian Channel Prediction

Augmenting accurate prediction of channel attenuations can be of immense value in improving the quality of signals athigh frequency for satellite communication networks. Such prediction of weather related attenuation factors for the impendingweather conditions based on the weather data and the Markovian theory are the main object of this paper. The paper also describes anintelligent weather aware control system (IWACS) that is used to employ the predictions made from Markov model to maintainthe quality of service (QoS) in channels that are impacted by rain, gaseous, cloud, fog, and scintillation attenuations. Based onthat, a three dimensional relationship is proposed among estimated atmospheric attenuations, propagation angle, and predictedrainfall rate (RRpr) at a given location and operational frequency. This novel method of predicting weather characteristicssupplies valuable data for mitigation planning, and subsequently for developing an algorithm to iteratively tune the IWACS byadaptively selecting appropriate channel frequency, modulation, coding, propagation angle, transmission power level, and datatransmission rate to improve the satellite's system performance. Some simulation results are presented to show the effectiveness of the proposedscheme.