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
| Original language | English |
|---|---|
| Journal | IEEE Antennas and Wireless Propagation Letters |
| Volume | 12 |
| Issue number | 1650 |
| DOIs | |
| Publication status | Published - 1 Jan 2013 |
Keywords
- wireless
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