Title :
Cellular-based Statistical Model for Mobile Dispersion
Author :
Abdulla, Mouhamed ; Shayan, Yousef R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ. Montreal, Montreal, QC, Canada
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.
Keywords :
cellular radio; geometry; mobile radio; statistical analysis; cellular-based statistical model; circular geometry; mobile dispersion; mobile systems; multicellular network; Analytical models; Cells (biology); Complex networks; Geometry; Interference; Mathematical model; Mobile computing; Power system modeling; Shape; Stochastic processes;
Conference_Titel :
Computer Aided Modeling and Design of Communication Links and Networks, 2009. CAMAD '09. IEEE 14th International Workshop on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-3532-6
Electronic_ISBN :
978-1-4244-3533-3
DOI :
10.1109/CAMAD.2009.5161465