An Experimental Investigation into the Impact of Vehicular Traffic on Interpersonal Wearable-to-Wearable Communications Channels

Michael G. Doone, Simon L. Cotton*, Claude Oestges

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Citations (Scopus)
163 Downloads (Pure)

Abstract

In this paper, we have investigated the effects of vehicular traffic on interpersonal wearable-to-wearable (W2W) communications channels in an urban environment at 2.45 GHz. In particular, we have studied the perturbations in the received signal caused by different types of vehicles as they passed through a channel between two persons who maintained various relative orientations while positioned at the opposite sides of a road. As the channel underwent different fading mechanisms depending on whether the vehicle was approaching, transitioning (i.e., intersecting the direct signal path), or receding from the persons, the overall disturbance was appropriately segmented depending on the journey stage. The results have shown that relative body orientation was a significant factor when considering the impact that a vehicle can have on a W2W link. When both persons faced the oncoming traffic, the link was particularly susceptible to significant fading events with variations in the received signal power from the unperturbed state as great as 44.1 dB observed to occur. For all of the journey stages, irrespective of the relative orientation of the persons, the logarithmically transformed long-term fading process was found to be multimodal and well described by a Gaussian mixture model. During the transitioning phase, shadowing caused by the passing automobile obstructing the line-of-sight signal path was found to be the main contributor to the signal fading. However, probably the most remarkable result of the channel characterization work conducted in this paper was the severity of the short-term fading often observed. Such was the intensity of the measured envelope fluctuation in many of the scenarios, we have been able to utilize the recently proposed κ - μ extreme distribution with great success and in the process, provide a further important empirical validation of this new fading model. Moreover, we have used the resistor-average distance, which is derived from the Kullback-Leibler distance to show the improved fit that the κ - μ extreme distribution offers compared with the κ - μ distribution when used to model the W2W channel in this fading environment.

Original languageEnglish
Article number8039240
Pages (from-to)5418-5430
JournalIEEE Transactions on Antennas and Propagation
Volume65
Issue number10
DOIs
Publication statusPublished - 18 Sep 2017

Keywords

  • channel measurements
  • channel modeling
  • fading channels
  • Gaussian mixture model (GMM)
  • wearable communications
  • κ - μ distribution
  • κ - μ extreme distribution

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'An Experimental Investigation into the Impact of Vehicular Traffic on Interpersonal Wearable-to-Wearable Communications Channels'. Together they form a unique fingerprint.

  • Cite this