Statistical analysis of the power sum of multiple correlated log-normal components

Abstract

A statistical method is presented for the analysis of the power sum of multiple correlated log-normal random components. The results are compared with those of S.C. Schwartz and Y.S. Yeh (1982) and the Monte Carlo simulation. The effect of correlation on the mean and the variance of the combined multiple correlated log-normal components is also investigated. The presented method allows quick and accurate calculations for various system performance parameters of radio networks for high-capacity cellular telephony, two-way paging, packet radio, mobile data networks, and radar detection systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>