Performance of a Queuing Model With Hyper-Erlang distribution Service For Wireless Network Nodes

摘要

Research finds within the last decade on network measurement have shown the classical assumption of exponentially decaying service distributions does not apply in a number of sources – Ethernet, ISDN, CCSN and VBR video. Recent research has shown that self-similar nature of traffic still exists in the traffic of wireless networks. Appropriate service distribution of these sources may be heavy-tailed service distributions. A difficult with heavy-tailed service distribution queuing model is that they may not have closed-from, analytic resutls. This paper proposes a method for analyzing the self-similar CMWAP traffic via HErd (Hyper-Erlang distribution) fitting technique and matrix geometry method. Analytical results and Numerical results of queuing performance effectively describe the self-similar nature of wireless network node against traditional Poisson process.