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.