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.
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.
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);
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.
| Technology | Ph.D | MS | M.Tech |
|---|---|---|---|
| NS2 | 75 | 117 | 95 |
| NS3 | 98 | 119 | 206 |
| OMNET++ | 103 | 95 | 87 |
| OPNET | 36 | 64 | 89 |
| QULANET | 30 | 76 | 60 |
| MININET | 71 | 62 | 74 |
| MATLAB | 96 | 185 | 180 |
| LTESIM | 38 | 32 | 16 |
| COOJA SIMULATOR | 35 | 67 | 28 |
| CONTIKI OS | 42 | 36 | 29 |
| GNS3 | 35 | 89 | 14 |
| NETSIM | 35 | 11 | 21 |
| EVE-NG | 4 | 8 | 9 |
| TRANS | 9 | 5 | 4 |
| PEERSIM | 8 | 8 | 12 |
| GLOMOSIM | 6 | 10 | 6 |
| RTOOL | 13 | 15 | 8 |
| KATHARA SHADOW | 9 | 8 | 9 |
| VNX and VNUML | 8 | 7 | 8 |
| WISTAR | 9 | 9 | 8 |
| CNET | 6 | 8 | 4 |
| ESCAPE | 8 | 7 | 9 |
| NETMIRAGE | 7 | 11 | 7 |
| BOSON NETSIM | 6 | 8 | 9 |
| VIRL | 9 | 9 | 8 |
| CISCO PACKET TRACER | 7 | 7 | 10 |
| SWAN | 9 | 19 | 5 |
| JAVASIM | 40 | 68 | 69 |
| SSFNET | 7 | 9 | 8 |
| TOSSIM | 5 | 7 | 4 |
| PSIM | 7 | 8 | 6 |
| PETRI NET | 4 | 6 | 4 |
| ONESIM | 5 | 10 | 5 |
| OPTISYSTEM | 32 | 64 | 24 |
| DIVERT | 4 | 9 | 8 |
| TINY OS | 19 | 27 | 17 |
| TRANS | 7 | 8 | 6 |
| OPENPANA | 8 | 9 | 9 |
| SECURE CRT | 7 | 8 | 7 |
| EXTENDSIM | 6 | 7 | 5 |
| CONSELF | 7 | 19 | 6 |
| ARENA | 5 | 12 | 9 |
| VENSIM | 8 | 10 | 7 |
| MARIONNET | 5 | 7 | 9 |
| NETKIT | 6 | 8 | 7 |
| GEOIP | 9 | 17 | 8 |
| REAL | 7 | 5 | 5 |
| NEST | 5 | 10 | 9 |
| PTOLEMY | 7 | 8 | 4 |
