Modeling spatial distribution of base stations in the Indian scenario

Kosala, Prathyusha Devi and Thomas, Dhanuja Elizabeth and Kumar, Abhinav (2017) Modeling spatial distribution of base stations in the Indian scenario. In: IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 17-20 December 2017, Bhubaneswar, India.

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Modeling the spatial distribution of base stations (BSs) is essential for evaluating different network performance metrics in cellular networks. In this paper, we consider the spatial distribution data of actual BS deployments in Tier-1 cities of India for one of the leading network providers. To model this data, we consider the widely used homogeneous Poisson Point Process as the benchmark. We evaluate the performance of the Poisson distribution along with Discrete Exponential, Discrete Weibull, and Zipf-Mandelbrot distributions for modeling the distribution of number of BSs in a given area. Further, we model the spatial location of BSs using Uniform, Gaussian, and Laplace distributions. We compare the performance of the various distributions using Goodness of Fit tests. The numerical results indicate that the location of BSs can be accurately modeled as a Gaussian distribution, while, the number of BSs in the Indian scenario is best modeled as a Discrete Exponential distribution.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Base Stations, Cellular Networks, Goodness Of Fit, Poisson Point Process, Spatial Distribution
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 10 May 2019 05:36
Last Modified: 10 May 2019 05:36
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