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Human body shadowing characterization for 60-GHz indoor short-range wireless links

  • Petros Karadimas
    ,
  • Ben Allen
    ,
  • Peter Smith
  • University of Canterbury
Research Output:
Contribution to journal
Article
 Peer-review

Abstract

We statistically characterize received signal power variations in the time domain caused by human activity affecting 60-GHz indoor short-range wireless links. Our approach is based on propagation measurements in indoor environments considering human activity intercepting the line-of-sight (LOS) path. It has been previously shown that the ensemble of received power levels in decibel (dB) scale cannot be modeled by a Gaussian distribution, as is the case for spatial shadowing variations. In this letter, we present a theoretical stochastic approach showing that received power variations can follow a Gaussian statistical model when considered within the time intervals of similar shadowing processes. Our model is shown to have good comparison to experimental data

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Journal (Volume, Issue Number)

IEEE Antennas and Wireless Propagation Letters (Volume 12, Issue 1650)

Publication milestones

  • Published - 01/01/2013

Publication status

Published - 01/01/2013

ISSN

1536-1225

Publication IDs

  • handle.net: 10547/333430
  • Scopus: 84893310970

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