Statistical Estimation of Error Probability in a Digital Wireless Communication Network

This paper proposes a Monte - Carlo based statistical simulation technique for estimating the error probability for different modulation schemes of a log-normal Raleigh fading channel in a digital wireless communication network. The generalised expressions which are found in the literature involve not only tedious mathematical analysis and lengthy computational time but also need to be re-derived for any change in modulation type. The proposed method allows some random parameters like user´s random positions to be accounted for without any mathematical challenge. There is excellent agreement between error probabilities computed through the proposed technique and that obtained in the literature.