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Stochastic Geometry Modeling of Cellular Networks: Analysis, Simulation and Experimental Validation

Published: 02 November 2015 Publication History

Abstract

Due to the increasing heterogeneity and deployment density of emerging cellular networks, new flexible and scalable approaches for their modeling, simulation, analysis and optimization are needed. Recently, a new approach has been proposed: it is based on the theory of point processes and it leverages tools from stochastic geometry for tractable system-level modeling, performance evaluation and optimization. In this paper, we investigate the accuracy of this emerging abstraction for modeling cellular networks, by explicitly taking realistic base station locations, building footprints, spatial blockages and antenna radiation patterns into account. More specifically, the base station locations and the building footprints are taken from two publicly available databases from the United Kingdom. Our study confirms that the abstraction model based on stochastic geometry is capable of accurately modeling the communication performance of cellular networks in dense urban environments.

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  1. Stochastic Geometry Modeling of Cellular Networks: Analysis, Simulation and Experimental Validation

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      cover image ACM Conferences
      MSWiM '15: Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
      November 2015
      358 pages
      ISBN:9781450337625
      DOI:10.1145/2811587
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 02 November 2015

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      Author Tags

      1. cellular networks
      2. point processes
      3. stochastic geometry

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      MSWiM '15 Paper Acceptance Rate 34 of 142 submissions, 24%;
      Overall Acceptance Rate 398 of 1,577 submissions, 25%

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      • (2024)Physical Layer Security of Partial-NOMA and NOMA in Poisson NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2023.333402023:6(6562-6579)Online publication date: Jun-2024
      • (2024)A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2023.333619426:1(428-460)Online publication date: Sep-2025
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      • (2021)Hybrid Active/Passive Wireless Network Aided by Intelligent Reflecting Surface: System Modeling and Performance AnalysisIEEE Transactions on Wireless Communications10.1109/TWC.2021.308144720:11(7196-7212)Online publication date: Nov-2021
      • (2021)On the Capacity Regions of Cloud Radio Access Networks With Limited Orthogonal FronthaulIEEE Transactions on Information Theory10.1109/TIT.2021.306326867:5(2958-2988)Online publication date: May-2021
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