Analysis of Variance, Eigen, and Energy (ANOVEE) based Sensing Method for Cognitive Radio Network

Cognitive Radio (CR) based systems are a new way of developing 5th generation wireless communications CR focuses to improve the bandwidth utilization or the spectrum uses are more optimized when CR used for communications. Spectrum sensing is an essential need of 5th generation based cognitive radio systems. Analysis of Variance, Eigen, and Energy (ANOVEE) based Sensing Method for Cognitive Radio Network, A new method of sensing developed in this work. Sensing of spectrum hole with sole methods may results in a miss or sometime spectrum hole though it was in use by the primary user. This work is a design of an affine combinational sensing method that can sense the spectrum holes with high accuracy in the radio channel and it must be only when the primary user is not using it. Spectrum sensing with ANOVEE detection method with Rayleigh fading channel and additive white Gaussian noise (AWGN) channel has been implemented in this work and comparative analysis done between the probability of detection (PD) and the probability of false alarm (PFA). MATLAB simulator is used for the designing of a cognitive radio transmitter, receiver, and channels, Monte Carlo simulation has been performed for spectrum analysis over the channel.