Title

Cellular-based Statistical Model for Mobile Dispersion

Document Type

Conference Proceeding

Publication Date

6-12-2009

Keywords

stochastic geometry, Monte Carlo simulation, spatial distribution, cellular communication, statistical modeling, statistical analysis, mobile radio, network geometry, cellular radio, network deployment

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.

Faculty

Faculty of Applied Science and Technology (FAST)

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Creative Commons License

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

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