Spectrum Occupancy Statistics and Time Series Models for Cognitive Radio

  • Authors:

  • Zhe Wang;Sana Salous

  • Affiliations:

  • School of Engineering, Durham University, Durham, UK DH1 3LE;School of Engineering, Durham University, Durham, UK DH1 3LE

  • Venue:
  • Journal of Signal Processing Systems
  • Year:
  • 2011

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Abstract

While dedicated spectrum occupancy monitoring provides vital information for frequency planning and management, it usually cannot tell the common properties in spectrum occupancy. As a complement, the models approach can be used to describe and compare the occupancy situations under similar conditions. Time series analysis has been applied to modeling the radio spectrum occupancy. This paper categorizes different time series models to different occupancy patterns. Occupancy analysis of the Global System for Mobile communications (GSM) band is given as an example.