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Simple Subroutine for Inhomogeneous Deployment
Proc. of the 6th IEEE Global Information Infrastructure and Networking Symposium (GIIS'14) (2014)
  • Dr. Mouhamed Abdulla, Concordia University, Montreal, Quebec, Canada
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 particular 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.
  • Stochastic Geometry,
  • Monte Carlo Simulation,
  • Spatial Distribution,
  • Cellular Communication,
  • Statistical Modeling,
  • Statistical Analysis,
  • Network Geometry,
  • Mobile Communication,
  • Network Deployment
Publication Date
Fall September 15, 2014
Montréal, Québec, Canada
Citation Information
M. Abdulla, “Simple Subroutine for Inhomogeneous Deployment,” In Proc. of the 6th IEEE Global Information Infrastructure and Networking Symposium (GIIS'14), pp. 1-3, Montréal, Québec, Canada, Sep. 15-18, 2014. Link:
Creative Commons License
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.