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Coverage analysis of finite cellular networks: A stochastic geometry approach

Azimi Abarghouyi, S. M ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/IWCIT.2018.8405041
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. This paper develops a tractable modeling and analysis framework for finite cellular wireless networks using stochastic geometry. Defining finite homogeneous Poisson point processes to model the number and locations of access points in a confined region, we study the coverage probability for an arbitrarily-located reference user that is served by the closest access point. The distance distribution and the Laplace transform (LT) of the interference are derived. We also derive a closed-form lower bound on the LT of the interference. Our analyses reveal that a higher path loss exponent improves the coverage probability and that there is a location where the coverage probability is maximized. © 2018 IEEE
  6. Keywords:
  7. Geometry ; Laplace transforms ; Probability ; Stochastic systems ; Wireless networks ; Cellular wireless networks ; Coverage analysis ; Coverage probabilities ; Distance distributions ; Model and analysis ; Path loss exponent ; Poisson point process ; Stochastic geometry ; Information theory
  8. Source: 2018 Iran Workshop on Communication and Information Theory, IWCIT 2018, 25 April 2018 through 26 April 2018 ; 2018 , Pages 1-5 ; 9781538641491 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8405041