Queuing Analysis of Self-Similar Traffic in Rayleigh Fading Channel

Abstract

Many measurement studies showed that network traffic usually exhibits self-similar nature, meanwhile, wireless fading channels lead to the time-variant service rates of network nodes. Compared with classical queuing systems with Markov sources or constant service rates, the queuing system with self-similar input in a wireless fading channel is more complicated, and it is very difficult to obtain closed-form formulas for the queuing performances. In this paper, we analyze the queuing behavior with self-similar traffic input in Rayleigh fading channel by establishing a queuing system model, and present a convenient and efficient algorithm to estimate the queue length distribution. Simulation results validate the accuracy of the proposed estimation algorithm.