Superposition of Interrupted Poisson Processes and Its Application to Packetized Voice Multiplexers
نویسنده
چکیده
This paper analyzes a model of a statistical multiplexer for packetized voice. The packet arrival stream from a single voice source is approximated by an interrupted Poisson process (IPP). The multiplexer is modeled by a single-server queue with general service time distribution, whose input is superposition of independent and identical IPPs. The steady-state probabilities of this queueing system are analyzed by the supplementary variable technique. Three methods for deciding the IPP parameters are discussed and comparisons with simulations show the 2moments and peakedness match method to be the most accurate.
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تاریخ انتشار 2011