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arXiv · 1306.0162

Cellular-Based Statistical Model for Mobile Dispersion

Mouhamed Abdulla·Yousef R. Shayan
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Abstract

While analyzing mobile systems we often approximate the actual coverage surface and assume an ideal cell shape. In a multi-cellular network, because of its tessellating nature, a hexagon is more preferred than a circular geometry. Despite this reality, perhaps due to the inherent simplicity, only a model for circular based random spreading is available. However, if used, this results an unfair terminal distribution for non-circular contours. Therefore, in this paper we specifically derived an unbiased node density model for a hexagon. We then extended the principle and established stochastic ways to handle sectored cells. Next, based on these mathematical findings, we created a generic modeling tool that can support a complex network with varying position, capacity, size, user density, and sectoring capability. Last, simulation was used to verify the theoretical analysis.

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Mouhamed Abdulla, Yousef R. Shayan. 2013-06-02. Cellular-Based Statistical Model for Mobile Dispersion. https://doi.org/10.1109/camad.2009.5161465

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