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Simple and Generic Simulator Algorithm for Inhomogeneous Random Spatial Deployment
ArXiv Technical Report (2013)
  • Dr. Mouhamed Abdulla, Concordia University, Montreal, Quebec, Canada
  • Prof. Yousef R. Shayan, Concordia University, Montreal, Quebec, Canada
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.
  • Cellular Communication,
  • Cellular Network,
  • Cellular Radio,
  • Mobile Communication,
  • Mobile Network,
  • Mobile Radio,
  • Stochastic Geometry,
  • Spatial Distribution,
  • Uniform Distribution,
  • Network Geometry,
  • Network Deployment,
  • Geometry,
  • Large-Scale Fading,
  • Path Loss,
  • Shadowing,
  • Interference,
  • Monte Carlo Simulation,
  • Random Number Generation,
  • Statistical Modeling,
  • Statistical Analysis
Publication Date
Spring March 30, 2013
Citation Information
M. Abdulla and Y. R. Shayan, "Simple and Generic Simulator Algorithm for Inhomogeneous Random Spatial Deployment," ArXiv Technical Report, arXiv:1304.3059, pp. 1-13, Mar. 2013. Link:
Creative Commons license
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.