Matlab Code for Cognitive Radio Network

Matlab Code for Cognitive Radio Network

       Let’s get to know about the content of this article and that includes how execute CRN using Matlab, acquired result of execution and sample Matlab code for cognitive radio network in the following.

Execute CRN Using Matlab

       Initially, we have to right click on the file and selecting the run option to execute the CRN main in Matlab.

Execution of CRN Using Matlab

        In addition, we have highlighted the acquired result of the executing the CRN using Matlab in the following.

Sample Matlab Code for Cognitive Radio Network

         For your reference, our resource team has provided the sample code for cognitive radio network using Matlab.

  • Resource allocation
for i = 1:nMCEvents
H = sqrt(1/2)*complex(randn(nSUs,nPUs),randn(nSUs,nPUs));
X = sqrt(1/nPUs)*complex(randn(nPUs,nSamps),randn(nPUs,nSamps));
V = sqrt(diag(nPow)/2)*complex(randn(nSUs,nSamps),randn(nSUs,nSamps));
Y = TX(i)*sqrt(diag(sPow)/2)*(H*X) + V;
Ted(i) = (1/nSUs)*sum((1/nSamps)*sum(abs(Y).^2,2));
end
Thres = linspace(min(Ted),0.85*max(Ted),nROCPts);
  • Energy detection and spectrum sensing based on CRN
for i = 1:nMCEvents H = sqrt(1/2)*complex(randn(nSUs,nPUs),randn(nSUs,nPUs)); X = sqrt(1/nPUs)*complex(randn(nPUs,nSamps),randn(nPUs,nSamps)); V = sqrt(diag(nPow)/2)*complex(randn(nSUs,nSamps),randn(nSUs,nSamps)); Y = TX(i)*sqrt(diag(sPow)/2)*(H*X) + V; Ted(i) = (1/nSUs)*sum((1/nSamps)*sum(abs(Y).^2,2)); end Thres = linspace(min(Ted),0.85*max(Ted),nROCPts);

            Through the above mentioned steps one can easily CRN using Matlab. If you feel that you are struggling somewhere, reach us without any hesitation and we provide the complete support for your understanding the help of our research experts.

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