Abstract
As a result of the increase in wireless applications, this led to a spectrum problem, which was often a significant restriction. However, a wide bandwidth (more than two-thirds of the available) remains wasted due to inappropriate usage. As a consequence, the quality of the service of the system was impacted. This problem was resolved by using cognitive radio that provides opportunistic sharing or utilization of the spectrum. This paper analyzes the performance of the cognitive radio spectrum sensing algorithm for the energy detector, which implemented by using a MATLAB Mfile version (2018b). The signal to noise ratio SNR vs. Pd probability of detection for OFDM and SNR vs. BER with CP cyclic prefix with energy detector is calculated and analyzed. In this paper, the proposed work produces more accurate results compared to the existing techniques at low SNR values.
Highlights
With the growing number of wireless technologies, the frequent congestion of the radio spectrum is rising (Mahmoud, Yucek, and Arslan, 2009).The policy in allocating the spectrum is to assign the channel to the user who has the license for using the wireless technologies and service
The parameters that are related to energy detection in spectrum sensing are sometimes called Receiver Operating Characteristics (ROC)
H1 is used to avoid primary user interference by the secondary user. It should be high in cognitive radio Probability of detection (Pd) for spectrum sensing
Summary
With the growing number of wireless technologies, the frequent congestion of the radio spectrum is rising (Mahmoud, Yucek, and Arslan, 2009).The policy in allocating the spectrum is to assign the channel to the user who has the license for using the wireless technologies and service. Reliable and automatic detection of an unused licensed spectrum is one of the key functions of cognitive radios (Amir and Elvino , 2008). OFDM is a common technology for transmission in cognitive radio networks It avoids inter-symbol interference in the signal using the Cyclic Prefix (CP) (Chin, Kao, and Le , 2014). The emphasis is on incorporating Cognitive Radio (using energy detection) with various OFDM frameworks to more effectively evaluate spectrum usage. Probability of detection (Pd) vs Probability of false alarm (Pfa), Pd vs Signal to Noise Ratio (SNR) and Bit Error Rate (BER) vs SNR for every OFDM framework with strength detector is calculated and analyzed. The proposed system is implemented with OFDM based CR using energy detection of spectrum sensing.
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