Outage Probability with Correlated Lognormal Interferers using Log Shifted Gamma Approximation

This paper presents an accurate computation of outage probability in cellular radio system by using Log Shifted Gamma (LSG) approximation to model the sum of correlated lognormal random variables (RVs) for a wide range of dB spreads, number of interferers M, correlation coefficients r among interference components, and noise power N. The proposed LSG approximation consistently shows a better accuracy than the other existing lognormal approximation techniques, especially for small correlation coefficients r and/or dB spreads.