Wireless communication is being used in all communication standards. However, with
each passing day, the bandwidth scarcity has become a significant concern for the upcoming wireless
technologies. In order to address this concern, various techniques based on artificial intelligence
have been designed. The basic intelligent radio called cognitive radio has been devised. It
works on the basic principle of spectrum sensing and detecting the free frequency for transmission
of the secondary user, who is an unlicensed user. This work proposes an efficient technique that
has been developed to design cognitive radio based on SDR platform. The frequency updating algorithm
has been added for the performance assessment of the proposed technique. The analysis
posits that for every 10dB rise in Gaussian Noise, the bit error rate of secondary transmitter and
spectrum sensor, cause an increment of 19.59% and 29.39%, respectively. It has been found that
spectrum sensor is more prone to noise and that the Gaussian noise degrades the performance of
the system. Therefore, it is pertinent that the spectrum sensor should be programmed carefully.
This analysis shows that the best range of spectrum sensor under Gaussian noise is 0 to 0.1dB and
the bit error rate is within this specified range.
Keywords: Software defined radio, USRP, GNU radio, bit error rate, primary user, cognitive radio, secondary user, wireless
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