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 language | English |
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Title of host publication | 2017 11th European Conference on Antennas and Propagation (EUCAP) |
Publisher | IEEE |
Pages | 286-290 |
Number of pages | 5 |
ISBN (Electronic) | 9788890701870 |
ISBN (Print) | 9781509037421 |
DOIs | |
Publication status | Published - 18 May 2017 |
Externally published | Yes |
Event | 11th European Conference on Antennas and Propagation - Paris, France Duration: 19 Mar 2017 → 24 Mar 2017 |
Conference
Conference | 11th European Conference on Antennas and Propagation |
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Abbreviated title | EUCAP 2017 |
Country/Territory | France |
City | Paris |
Period | 19/03/17 → 24/03/17 |
Bibliographical note
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Keywords
- Fading Channels
- Antenna Radiation Patterns
- Body Area Networks
- Gamma Distribution
- NLOS off-body communication