Characterization of the Interference Distribution for Large-scale Wireless Communication Network

Abstract

The research paper discusses the characterization of aggregate interference distribution for large-scale wireless communication networks. The paper proposes an innovative approach to estimate the probability density function of the aggregate interference in the wireless network by using statistical modeling techniques. The methodology involves using a DS-CDMA communication system that captures aggregate interference in large-scale wireless networks, considering factors like path loss, shadowing, fading, and spatial distribution of interfering nodes. It was unearthed that the interference of the large-scale wireless network was alpha-stable probability density function (pdf) of Weibull distribution, which belongs to the class of heavy-tailed probability distributions. Experimental results from simulations on large-scale wireless communication networks using Matlab 20021a were used to validate the effectiveness and accuracy of the proposed approach, demonstrating the reliability of the statistical modeling technique. The alpha-stable pdf model assist network designers and engineers in gaining valuable insights into aggregate interference characterization and to make informed decisions to optimize network performance.