%0 Journal Article
%T Estimation of Blocking Probabilities In A Cellular Network Which Is Prone To Dynamic Losses
%A Anuj Kumar
%A Shilpi Srivastav
%A Narendra Kumar and Alok Agarwal
%J International Journal of Computer Trends and Technology
%D 2012
%I Seventh Sense Research Group
%X 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 กฐ 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 .
%K Blocking probability Non-Stationary
%K Cellular network
%K mobile network and Simulation.
%U http://www.ijcttjournal.org/volume-3/issue-5/IJCTT-V3I5P112.pdf