atlab Code clear all clc N=10.^6 SNR_db=0:10; for k=1:length(SNR_db); tx=round (rand(1,N)); txx=sign(tx-0.5); % BPSK SNR (k)= 10.^(SNR_db(k).*0.1); noiseVar=1./(length(txx)-1) %noise=(randn(1, length(txx)))*sqrt(1/(2*SNR(k noise=(randn(1, length(txx)))*sqrt(1/(2*SNR(k) rxx=txx+noise; rx=sign(rxx); rX=sign(rx+1); error= sum(xor (tx,rX)); BER(k)=error/N; BER_th(k)=qfunc(sqrt(2*10.^((k-1)/10))); end figure(1) semilogy(SNR_db,BER_th,"b-o") hold on semilogy (SNR_db,BER, 'r-*') xlabel('SNR in db') ylabel('BER') legend ('Theoretical', 'Practical')

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
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Use the same code to draw the noise and rxx signal using plot (x,y) ?
Matlab Code
clear all
clc
N=10.^6
SNR_db=0:10;
for k=1:length(SNR_db);
tx=round (rand (1, N));
txx=sign(tx-0.5); % BPSK
SNR (k)= 10.^(SNR_db(k).*0.1);
noiseVar=1./(length(txx)-1)
%noise=(randn(1,length(txx)))*sqrt(1/(2*SNR(k)));
noise=(randn(1,length(txx)))*sqrt(1/(2*SNR(k)));
rxx=txx+noise;
rx=sign(rxx);
rX=sign(rx+1);
error= sum(xor(tx,rX));
BER(k)=error/N;
BER_th(k)=qfunc (sqrt(2*10.^((k-1)/10)));
end
figure(1)
semilogy (SNR_db,BER_th, "b-o")
hold on
semilogy (SNR_db, BER, 'r-*')
xlabel('SNR in db')
ylabel('BER')
legend('Theoretical', 'Practical')
Transcribed Image Text:Matlab Code clear all clc N=10.^6 SNR_db=0:10; for k=1:length(SNR_db); tx=round (rand (1, N)); txx=sign(tx-0.5); % BPSK SNR (k)= 10.^(SNR_db(k).*0.1); noiseVar=1./(length(txx)-1) %noise=(randn(1,length(txx)))*sqrt(1/(2*SNR(k))); noise=(randn(1,length(txx)))*sqrt(1/(2*SNR(k))); rxx=txx+noise; rx=sign(rxx); rX=sign(rx+1); error= sum(xor(tx,rX)); BER(k)=error/N; BER_th(k)=qfunc (sqrt(2*10.^((k-1)/10))); end figure(1) semilogy (SNR_db,BER_th, "b-o") hold on semilogy (SNR_db, BER, 'r-*') xlabel('SNR in db') ylabel('BER') legend('Theoretical', 'Practical')
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