A hierarchical Markov model for wireless shadowed fading channels

Hongchuan Yang*, Mohamed-Slim Alouini

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

A novel model for slowly varying shadowed fading channel based on Markov chain theory is proposed. It not only leads to accurate first-order statistical description of the composite process but also captures the memory effect of the channel. Following a hierarchical approach, the shadowing/fading process is modeled as nested Markov chain, where the macrostate variation is assumed to be caused by the shadowing process while microstate transitions is initialized by fading effect with macrostate-dependent transition probabilities. As an illustration of the mathematical formalism, some simulation results are provided and discussed.

Original languageEnglish (US)
Pages (from-to)640-644
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume2
StatePublished - Jan 1 2002
EventVehicular Technology Conference - Birmingham, AL, United States
Duration: May 6 2002May 9 2002

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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