Time series modelling of spectrum occupancy for cognitive radio
نویسندگان
چکیده
Cognitive radio requires real time monitoring of the spectrum to determine the frequency of transmission. Spectrum analysers tend to employ a slow frequency sweep and hence such measurements can only be used for modelling of the spectrum, which can provide vital information for frequency planning and management. Occupancy measurements every hour over a seven-day period were performed in the UK and time series analysis has been applied to model different occupancy patterns in the Global System for Mobile communications (GSM) band. The results indicate that the auto-regressive integrated moving average model, gives a good fit for the measured data.
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