Title :
Time series arima model of spectrum occupancy for cognitive radio
Author :
Zhe Wang ; Salous, Sana
Author_Institution :
Sch. of Engineerng, Durham Univ., Durham
Abstract :
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.
Keywords :
cognitive radio; mobile communication; time series; GSM band; cognitive radio; frequency management; frequency planning; mobile communications; radio spectrum occupancy; spectrum occupancy monitoring; time series arima model; ARIMA model; Cognitive radio; spectrum occupancy; time series;
Conference_Titel :
Cognitive Radio and Software Defined Radios: Technologies and Techniques, 2008 IET Seminar on
Conference_Location :
London
Print_ISBN :
978-0-86341-939-3