Analysis of Methods for the Summation of Log-Normal Distributions
Jacek W. Wroński · 2010
When carrying out coverage predictions for RF signals, statistics play a big part and the statistical nature of the predicted values cannot be ignored. In the particular case of location variation, the signals are assumed to follow a log-normal distribution and various methods are available for carrying out summations of such signals. This article examines the different algorithms in an attempt to assess the suitability of each one and to identify the optimum method to use. Two main scenarios are considered. The first one deals with the summation of a series of signals with various mean values, such as might be used when summing the contributions of a number of interferers. The second one deals with the best solution to minimize mean and standard deviation error of the sum. In both cases, the impact of the mean level and standard deviation of the contributors is considered.