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We conceptualized a straightforward and flexible approach for random spatialinhomogeneity by proposing the area-specific deployment (ASD) algorithm, whichtakes into account the clustering tendency of users. In fact, the ASD methodhas the advantage of achieving a more realistic heterogeneous deployment basedon limited planning inputs, while still preserving the stochastic character ofusers position. We then applied this technique to different circumstances, anddeveloped spatial-level network algorithms for controlled and uncontrolledcellular network deployments. Overall, the derived simulator tools willeffectively and easily be useful for designers and deployment planners modelinga host of multi-coverage and multi-scale wireless network situations.

Simple and Generic Simulator Algorithm for Inhomogeneous Random Spatial Deployment