Simple and Generic Simulator Algorithm for Inhomogeneous Random Spatial Deployment

Document Type

Conference Proceeding

Publication Date



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


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.


Faculty of Applied Science and Technology (FAST)

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Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


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