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Information Technology Journal
Year: 2013  |  Volume: 12  |  Issue: 16  |  Page No.: 3639 - 3644

Importance Sampling Estimation on Call Dropping Probability for a Handover Scheme Under Poisson Assumption

D. Liang, W.Q. Xue and M.G. Peng    

Abstract: The process of changing the channel associated with the current connection while a call is in progress is under consideration. The estimation of call dropping probability in handover process of a one dimensional traffic system in 3GPP LTE is discussed. The analytical probability of call dropping is deduced and then estimated by Monte Carlo simulation. As the call dropping probability is always very small, it can be considered as rare event. To reduce the sample size of simulation, importance sampling is used by increasing the probability of average coming rate for handover traffic and decreasing the probability of available channels. The simulation results suggest the sample size can be tremendously reduced by using importance sampling.

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