A PDF-based capacity analysis of diversity reception schemes over composite fading channels using a mixture gamma distribution

Jaehoon Jung, Sang Rim Lee, Haewook Park, Hoon Lee, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we analyze the ergodic capacity performance for diversity reception schemes over composite fading channels using a mixture gamma (MG) distribution. By adopting the MG distribution, various composite fading channel models can be approximated with mathematically tractable and highly accurate properties. In other words, signal- to-noise ratio statistics which contain complicated functions for each diversity reception scheme are formulated as a weighted sum of gamma distributions. With an aid of properties of the gamma distribution, we can derive closed-form expressions of an ergodic capacity for important diversity reception schemes such as maximal ratio combining and selection combining. We observe that our analysis can be expressed with the general number of receiver branches over various composite fading conditions. Simulation results verify that the derived ergodic capacity expressions match well with the empirical results.

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479944491, 9781479944491
DOIs
Publication statusPublished - 2014 Jan 1
Event80th IEEE Vehicular Technology Conference, VTC 2014 - Vancouver, Canada
Duration: 2014 Sep 142014 Sep 17

Other

Other80th IEEE Vehicular Technology Conference, VTC 2014
CountryCanada
CityVancouver
Period14/9/1414/9/17

ASJC Scopus subject areas

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

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    Jung, J., Lee, S. R., Park, H., Lee, H., & Lee, I. (2014). A PDF-based capacity analysis of diversity reception schemes over composite fading channels using a mixture gamma distribution. In IEEE Vehicular Technology Conference [6965835] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2014.6965835