Analytical Modeling of Active Queue Management under Dynamic Channel Conditions

This paper presents an original analytical model for a finite buffer queueing system with active queue management (AQM) where the dynamic channel conditions are captured by Markov-modulated Poisson processes. The model derives the close-form expressions of performance metrics including the mean number of packets in the system and in the queue, throughput, response time, delay, packet loss probability as well as system utilization. The credibility of the model is demonstrated by comparing the analytic results with those obtained through extensive simulation experiments. The proposed model is used to investigate the impacts of varying thresholds and burstiness in the channel capacity on the system performance.