We propose an analytic model for the performance of a faded DSCDMA radio channel carrying bursty traffic. For the IP traffic model we propose a twostate Markov Modulated Poisson Process (MMPP) to model slow Poisson arrivals of packets interspersed by bursts of IP traffic with a much higher arrival rate.
The channel model is a modified multistate GilbertElliot model which takes into account both the number of interfering users and whether the channel is in a faded or nonfaded state. We analyse both Ricean and Rayleigh distributions for the user signal. For the final result we relied on a discrete event simulation of the same DSCDMA radio channel data transmission process in order to parameterise the model. Results for metrics such as the slot success rate as a function of the number of interfering users and the packet throughput as a function of the IP traffic arrival rate are derived
