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Time series arima model of spectrum occupancy for cognitive radio

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2 Author(s)
Zhe Wang ; School of Engineerng, Durham University, DH1 3LE, UK ; Sana Salous

While the 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 summarize the occupancy situations under similar conditions. Time series analysis has been applied to modelling the radio spectrum occupancy. This paper categorises different time series models to different occupancy patterns. Occupancy analysis of the global system for mobile communications (GSM) band is given as an example.

Published in:

Cognitive Radio and Software Defined Radios: Technologies and Techniques, 2008 IET Seminar on

Date of Conference:

18-18 Sept. 2008