Composite fading in non-line-of-sight off-body communications channels

Seong Ki Yoo, Simon L. Cotton

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

8 Citations (Scopus)

Abstract

In this paper, we investigate the characteristics of the composite fading observed in non-line-of-sight (NLOS) off-body communications channels using the η-μ/inverse gamma distribution. We use a number of different datasets obtained from NLOS off-body measurements which have been performed in a range of different environments at 5.8 GHz and 60 GHz. In all cases, the bodyworn node was positioned on the front-central chest region of an adult male. It is shown that the η-μ/inverse gamma model provides an excellent fit to the measurement data for all of the considered cases. Using the Akaike information criterion (AIC), we have compared the η-μ/inverse gamma model with other composite and non-composite fading models associated with the NLOS channel conditions. The AIC results confirm that the η-μ/inverse gamma model was the most likely model to have been responsible for generating the channel data from the set of candidates which were considered.

Original languageEnglish
Title of host publication2017 11th European Conference on Antennas and Propagation, EUCAP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages286-290
Number of pages5
ISBN (Electronic)9788890701870
ISBN (Print)978-1-5090-3742-1
DOIs
Publication statusPublished - 18 May 2017
Event11th European Conference on Antennas and Propagation, EUCAP 2017 - Le Palais des Congrès de Paris, Paris, France
Duration: 19 Mar 201724 Mar 2017
http://www.eucap.org/

Conference

Conference11th European Conference on Antennas and Propagation, EUCAP 2017
Abbreviated titleEuCAP 2017
CountryFrance
CityParis
Period19/03/201724/03/2017
Internet address

Keywords

  • composite fading
  • non-line-of-sight channel
  • off-body channel
  • η-μ/inverse gamma distribution

ASJC Scopus subject areas

  • Safety Research
  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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