The aim of this article is to present ways of getting realizations of the stochastic model for CDMA coverage introduced in~. This is a basic stochastic geometry model that represents the location of antennas as realizations of Poisson point processes in the plane and allows one to capture regions (CDMA cells) of the plane with signal-to-noise ratio SNR to/from a given antenna at a sufficient level. We describe an algorithm of perfect simulation of arbitrary close approximation of the the CDMA cell mosaic given some coverage constraints. This is an adaptation of the so called backward simulation of conditional coverage process developed in~. The approximation comes from the estimation of the SNR, that is modeled by Poisson shot-noise process, based on an influence window whose size is theoretically adjusted to meet the true value of SNR with an arbitrary precision. As a motivating example we estimate the distribution functions of the distance from a fixed location to regions under various given handoff conditions (so called contact distribution functions).