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Open AccessFeature PaperArticle

Spectrum Occupancy Measurements and Analysis in 2.4 GHz WLAN

1
School of Engineering, Ulster University, Jordanstown BT37 0QB, UK
2
Department of Engineering, Durham University, Durham DH1 3LE, UK
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(9), 1011; https://doi.org/10.3390/electronics8091011
Received: 26 July 2019 / Revised: 30 August 2019 / Accepted: 7 September 2019 / Published: 10 September 2019
High time resolution spectrum occupancy measurements and analysis are presented for 2.4 GHz WLAN signals. A custom-designed wideband sensing engine records the received power of signals, and its performance is presented to select the decision threshold required to define the channel state (busy/idle). Two sets of measurements are presented where data were collected using an omni-directional and directional antenna in an indoor environment. Statistics of the idle time windows in the 2.4 GHz WLAN are analyzed using a wider set of distributions, which require fewer parameters to compute and are more practical for implementation compared to the widely-used phase type or Gaussian mixture distributions. For the omni-directional antenna, it was found that the lognormal and gamma distributions can be used to model the behavior of the idle time windows under different network traffic loads. In addition, the measurements show that the low time resolution and angle of arrival affect the statistics of the idle time windows. View Full-Text
Keywords: cognitive radio; spectrum occupancy; dynamic spectrum access; time resolution; directional; sensing engine cognitive radio; spectrum occupancy; dynamic spectrum access; time resolution; directional; sensing engine
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MDPI and ACS Style

Cheema, A.A.; Salous, S. Spectrum Occupancy Measurements and Analysis in 2.4 GHz WLAN. Electronics 2019, 8, 1011.

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