Simple and Generic Simulator Algorithm for Inhomogeneous Random Spatial Deployment

TL;DR

This paper introduces a simple, flexible algorithm called ASD for simulating realistic inhomogeneous spatial user distributions in wireless networks, aiding deployment planning.

Contribution

The paper presents the ASD algorithm, a novel, generic method for realistic inhomogeneous spatial deployment modeling in wireless networks.

Findings

ASD achieves realistic user clustering in simulations.

The method is adaptable to various deployment scenarios.

Tools developed facilitate network planning and analysis.

Abstract

We conceptualized a straightforward and flexible approach for random spatial inhomogeneity by proposing the area-specific deployment (ASD) algorithm, which takes into account the clustering tendency of users. In fact, the ASD method has the advantage of achieving a more realistic heterogeneous deployment based on limited planning inputs, while still preserving the stochastic character of users position. We then applied this technique to different circumstances, and developed spatial-level network algorithms for controlled and uncontrolled cellular network deployments. Overall, the derived simulator tools will effectively and easily be useful for designers and deployment planners modeling a host of multi-coverage and multi-scale wireless network situations.