Estimation of Blocking Probabilities In A Cellular Network Which Is Prone To Dynamic Losses

This research paper is intended to evaluate and estimate the blocking probabilities in a typical non-stationary cellular network . Essentially the analysis has been done by addressing the issue of tentative estimation of “ Modified Offered Load ( MOL ) by using Monte Carlo Simulation , in addition with superlative inspiration from the Importance Sampling ( IS ) Variance Reduction Method .The main objective here is to significantly reduce the number of time points or time intervals for which sampling is required . we essentially use Simulation and subsequently enhance simulation coefficient . Also , in order to reduce repetition of drawing independent samples at every time interval , we will try and construct a ratio approximation method that will facilitate that sample drawn at one point of time may be used at later time intervals . To make the entire assignment robust , we employ Taylor Series Approximation of Variance to check accuracy . As such , this will indicate the direct dependence of the accuracy with respect to the rate by which actual load may change .