Spectrum Occupancy Measurements and Analysis in 2.4 GHz WLAN

Adnan Ahmad Cheema, Sana Salous

Research output: Contribution to journalArticle

Abstract

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.
LanguageEnglish
Article number1011
Number of pages14
JournalElectronics
Volume8
Issue number9
DOIs
Publication statusPublished - 10 Sep 2019

Fingerprint

Wireless local area networks (WLAN)
Statistics
Antennas
Engines

Keywords

  • Cognitive radio (CR)
  • Spectrum occupancy
  • dynamic spectrum access
  • 5G+
  • Cognitive Radio Networks
  • wireless communications
  • 5G
  • Wifi
  • Cognitive radio
  • Directional
  • Time resolution
  • Dynamic spectrum access
  • Sensing engine

Cite this

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title = "Spectrum Occupancy Measurements and Analysis in 2.4 GHz WLAN",
abstract = "High time resolution spectrum occupancy measurements and analysis are presented for2.4 GHz WLAN signals. A custom-designed wideband sensing engine records the received powerof signals, and its performance is presented to select the decision threshold required to define thechannel state (busy/idle). Two sets of measurements are presented where data were collected usingan omni-directional and directional antenna in an indoor environment. Statistics of the idle timewindows in the 2.4 GHz WLAN are analyzed using a wider set of distributions, which require fewerparameters to compute and are more practical for implementation compared to the widely-usedphase type or Gaussian mixture distributions. For the omni-directional antenna, it was found that thelognormal and gamma distributions can be used to model the behavior of the idle time windowsunder 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.",
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Spectrum Occupancy Measurements and Analysis in 2.4 GHz WLAN. / Cheema, Adnan Ahmad; Salous, Sana.

In: Electronics, Vol. 8, No. 9, 1011, 10.09.2019.

Research output: Contribution to journalArticle

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AU - Salous, Sana

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KW - 5G

KW - Wifi

KW - Cognitive radio

KW - Directional

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