|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 68 - Number 6
|Year of Publication: 2013
|Authors: S. Thamizharasan, D. Saraswady, V. Saminadan
S. Thamizharasan, D. Saraswady, V. Saminadan . Periodicity based Cyclostationary Spectrum Sensing in Cognitive Radio Networks. International Journal of Computer Applications. 68, 6 ( April 2013), 6-9. DOI=10.5120/11581-6910
The last decade has witnessed a growing demand for wireless radio spectrum due to the rapid deployment of new wireless devices and applications. Spectrum is a precious resource and thus underutilization of a large part of allocated spectrum is not acceptable. Cognitive radio (CR) is proposed as a promising solution for increasing spectrum utilization and thereby helping to mitigate spectrum scarcity. CR is capable of sensing the unused spectrum bands and adapt to operate in the vacant bands. Once cognitive radios detect the presence of a primary user in their operating band, they must vacate the band immediately. Hence, accurate spectrum sensing is an essential feature of CR systems. In this paper, a cyclostationary spectrum sensing method for identifying the presence of primary user is introduced which uses the concept of periodicity in OFDM signals. In existing method,the periodicity of pilot signals in the OFDM symbols is used to detect the signals. The proposed scheme is robust to the detection of primary user signal with guard interval insertion in the OFDM signals which use the concept of periodicity. The power spectral density of average and true method which defines the spectrum power is compared and the simulation results are given in this paper. It is observed from the results that true power spectral density method is well suitable for CR which enables perfect sensing over primary users.