Simple Subroutine for Inhomogeneous Deployment

TL;DR

This paper introduces the ASD algorithm, a flexible and simple method for generating inhomogeneous wireless network deployments that account for user clustering, enhancing the realism of spatial network models.

Contribution

The paper presents a novel area-specific deployment (ASD) algorithm that automatically generates diverse inhomogeneous user distributions considering clustering tendencies.

Findings

Automatically produces infinite random realizations of user geometry.

Handles inhomogeneous and clustered deployment scenarios effectively.

Requires only three input parameters for deployment simulation.

Abstract

Spatial modeling of wireless networks via analytical means has been considered as a widely practiced mechanism for inference. As a result, some geometrical deployment models have been proposed in literature. Although practical in certain simulation instances, these models do not always produce inhomogeneous nodal geometries in an effective and simple manner for practical deployment situations. Therefore, we conceptualized a flexible approach for realizing random inhomogeneity by proposing the area-specific deployment (ASD) algorithm, which takes into account the clustering tendency of users. Overall, the developed spatial-level network tool has the distinct advantage of automatically producing infinitely many random realizations of users' geometry by simply entering three parameters to the simulator: the size of the cellular network, the number of deployment layers, and the overall quantity of nodes.