Stochastic Geometry-Based Coverage and Rate Analysis under Nakagami Log-normal Composite Fading Channel for Downlink Cellular Networks

Kumin Cho, Junman Lee, Chung Gu Kang

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Modeling the base station deployments with stochastic geometry in the cellular network, we derive the coverage probability and average rate of typical user under a generalized composite fading channel, which is composed of the shadowing and Nakagami-${m}$ fading. Unlike the previous work, the current coverage analysis does not involve any numerical integration, allowing for a rather straightforward evaluation of the required signal-to-interference ratio with the given target cellular performance under general channel environments. It approximates a gamma-lognormal distribution, which characterizes an effect of composite fading, as a weighted sum of gamma distributions by the Gaussian-Hermite quadrature for analytical tractability.

Original languageEnglish
Article number7857035
Pages (from-to)1437-1440
Number of pages4
JournalIEEE Communications Letters
Volume21
Issue number6
DOIs
Publication statusPublished - 2017 Jun 1

Keywords

  • cellular network
  • Composite fading channel
  • coverage probability
  • Nakagami-lognormal fading
  • poisson point process
  • stochastic geometry

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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