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)
Copyright
© Abdulla & Shayan 2009
Terms of Use
Terms of Use for Works posted in SOURCE.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
SOURCE Citation
Abdulla, Mouhamed and Shayan, Yousef R., "Cellular-based Statistical Model for Mobile Dispersion" (2009). Publications and Scholarship. 25.
https://source.sheridancollege.ca/fast_publications/25
