Comparison of Different Spectrum Sensing Methods in Cognitive Radio

Abstract

The radio frequency spectrum is a limited resource so it is most important to maximum utilization of spectrum. The spectrum bands are usually licensed to certain services, such as mobile, fixed, broadcast and satellite to avoid harmful interference between different networks to affect users. Most spectrum bands are allocated to certain services but worldwide spectrum occupancy measurements show that only portions of the spectrum band are fully used. Moreover, there are large temporal and spatial variations in the spectrum occupancy. In the development of future wireless systems the spectrum utilization functionalities will play a key role due to the scarcity of unallocated spectrum. For this necessity cognitive radio network is a solution for utilization of various frequency spectrums. Cognitive radio is capable to sense the holes in frequency band and utilize. In Cognitive radio to utilize holes and non- interfacing use of spectrum such require three main tasks Spectrum Sensing, Spectrum Analysis & Spectrum Allocation. Spectrum sensing involves obtaining the spectrum usage characteristics across multiple dimensions such as Time, Space, Frequency and code & determining the type of signals are occupying the spectrum. In this paper three different methods: Energy Detection, Matched Filter & Cyclo-stationary methods in MATLAB code. Compare the Sensing Performance of methods, Sensing Accuracy, Sensing Speed & Sensing Complexity. For this purpose use as an example one of the purposed OFDM signals of the Digital Video Broadcasting (DVB) standard for the European Terrestrial Broadcasting (DTV) service. In this paper for spectrum sensing implementing the Energy Detection, Matched Filter & Cyclo-stationary methods in MATLAB codes.