Performance Models of E-Business Traffic on the High Speed Train

Next generation network on the high speed train is aimed to achieve high mobility, broadband and large data rates as required. However, the wireless signal has been proved instable due to high doppler shift, poor weather conditions and various geography environment. In this context, the e-business on the high speed train has to face a few e-business quality problems for wavy data rates and transmission variety. To achieve the best quality e-business service for the customer on the high speed train, we propose an on-board switch centre (OSC) to manage the customers' application by using a novel intelligent buffer management scheme, namely IBMS, which schedules two priority e-business traffic classes to be transmitted efficiently to avoid wavy data rate. Moreover, a novel analytic algorithm, namely Maximum Entropy (ME) is introduced as an analytic solution for our buffer management scheme. Typical numerical experiments are included to verify the credibility of the ME solutions against simulation results at 95% confidence intervals.