DocumentCode
3179655
Title
Using random shape theory to model blockage in random cellular networks
Author
Bai, Tianyang ; Vaze, Rahul ; Heath, Robert W., Jr.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear
2012
fDate
22-25 July 2012
Firstpage
1
Lastpage
5
Abstract
Shadow fading is severe in downtown areas where buildings are densely located. This paper proposes a stochastic model to quantify blockages due to shadowing, using methods from random shape theory. Buildings inside a cell are modeled as line segments with random sizes and orientations, with locations from a spatial Poisson point process. Dense urban areas can be modeled by the parameters of the line process. Based on this construction, the distribution of the power loss caused by shadowing in a particular path is expressed in closed form. The distribution can be used to compute several performance metrics of interest in random systems. Simulations illustrate coverage and connectivity as a function of the metrics of blockages, such as the density and the average size of buildings.
Keywords
cellular radio; random processes; stochastic processes; blockage modelling; building average size; building density; line process; line segments; power loss distribution; random cellular networks; random shape theory; random systems; shadow fading; spatial Poisson point process; stochastic model; Buildings; Computational modeling; Interference; Random variables; Shadow mapping; Shape; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications (SPCOM), 2012 International Conference on
Conference_Location
Bangalore
Print_ISBN
978-1-4673-2013-9
Type
conf
DOI
10.1109/SPCOM.2012.6290250
Filename
6290250
Link To Document