Simple and Generic Simulator Algorithm for Inhomogeneous Random Spatial Deployment
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.
Cite
@article{arxiv.1304.3059,
title = {Simple and Generic Simulator Algorithm for Inhomogeneous Random Spatial Deployment},
author = {Mouhamed Abdulla and Yousef R. Shayan},
journal= {arXiv preprint arXiv:1304.3059},
year = {2013}
}