Performance of dense wireless networks in 5G and beyond using stochastic geometry

TL;DR

This paper models the interference in dense 5G networks with mMIMO and millimeter-wave technologies, revealing how network parameters influence performance and providing insights for optimal deployment.

Contribution

It introduces a statistical model for aggregated interference considering blockage, antenna configuration, and device density in mMIMO-based dense networks.

Findings

Interference power follows a mixture of alpha-stable distributions.

Optimal array configuration depends on AP height and device density.

Model aids in designing better dense 5G networks.

Abstract

Device density in cellular networks is expected to increase considerably in the next future. Accordingly, the access point (AP) will equip massive multiple-input multiple-output (mMIMO) antennas, using collimated millimeter-wave (mmW) and sub-THz communications, and increase the bandwidth to accommodate the growing data rate demands. In this scenario, interference plays a critical role and, if not characterized and mitigated properly, might limit the performances of the network. In this context, this paper derives the statistical properties of the aggregated interference power for a cellular network equipping a mMIMO cylindrical array. The proposed statistical model considers the link blockage and other network parameters such as antenna configuration and device density. The findings show that the characteristic function (CF) of the aggregated interference power can be regarded as a weighted mixture of two alpha-stable distributions. Furthermore, by analyzing the service probability, it is found that there is an optimal configuration of the array depending on the AP height and device density. The proposed statistical model can be part of the design of dense networks providing valuable insights for optimal network deployment