Matlab Code for Performance Analysis (BER vs Eb_N0) of BPSK, QPSK & 16QAM, on 4G LTE

Please can someone kindly help to edit this code i got from Nischay Malhan (youtube account) to fit in for BER performance evaluation of bpsk, qpsk and 16qam on 4G LTE. Thank you you assist.

The code below:

clc;

close all;

EbN0dB=-4:1:24;

EbN0lin=10.^(EbN0dB/10);

colors={'k-*','g-o','r-h','c-s','m-s','y-*','k-p','b:s','m:d','g:p'};

index=1;

%BPSK

BPSK = 0.5*erfc(sqrt(EbN0lin));

plotHandle=plot(EbN0dB,log10(BPSK),char(colors(index)));

set(plotHandle,'LineWidth',1.5);

hold on;

index=index+1;

%M-PSK

m=2:1:5;

M=2.^m;

for i=M,

k=log2(i);

berErr = 1/k*erfc(sqrt(EbN0lin*k)*sin(pi/i));

plotHandle=plot(EbN0dB,log10(berErr),char(colors(index)));

set(plotHandle,'LineWidth',1.5);

index=index+1;

end

%Binary DPSK

Pb = 0.5*exp(-EbN0lin);

plotHandle = plot(EbN0dB,log10(Pb),char(colors(index)));

set(plotHandle,'LineWidth',1.5);

index=index+1;

%Differential QPSK

a=sqrt(2*EbN0lin*(1-sqrt(1/2)));

b=sqrt(2*EbN0lin*(1+sqrt(1/2)));

Pb = marcumq(a,b)-1/2.*besseli(0,a.*b).*exp(-1/2*(a.^2+b.^2));

plotHandle = plot(EbN0dB,log10(Pb),char(colors(index)));

set(plotHandle,'LineWidth',1.5);

index=index+1;

%M-QAM

m=2:2:6;

M=2.^m;

for i=M,

k=log2(i);

berErr = 2/k*(1-1/sqrt(i))*erfc(sqrt(3*EbN0lin*k/(2*(i-1))));

plotHandle=plot(EbN0dB,log10(berErr),char(colors(index)));

set(plotHandle,'LineWidth',1.5);

index=index+1;

end

legend('BPSK','QPSK','8-PSK','16-PSK','32-PSK','D-BPSK','D-QPSK','4-QAM','16-QAM','64-QAM');

axis([-4 24 -8 0]);

set(gca,'XTick',-4:1:24);

ylabel('Probability of BER Error - log10(Pb)');

xlabel('Eb/N0 (dB)');

title('Probability of BER Error log10(Pb) Vs Eb/N0');

grid on;

Answer 1

[Sriram Tadavarty]

Hi Theman,

Bit error rate (BER) performance of a modulation scheme is independent of the technology used.

To get BER of PDSCH in LTE, you can look after this page. Do note that this example includes Turbo coding and HARQ, both of which can impact BER.

Hope this helps.

Regards,

Sriram

Answer 2

[Kulith udara]

thanks man

Answer 3

[Zinan Nashat Zamil]

how do i run this code?

Answer 4

[Idin Motedayen-Aval]

You also use the berawgn function from Communication Toolbox to generate these curves.

The code above uses the formulas for BER directly. The berawgn function makes those formulas transparent to the user.

Answer 5

[Akshay]

Write code of Quadrature Phase Shift Keying (QPSK) communication system and its Bit Error Rate (BER) performance under varying Signal-to-Noise Ratio (SNR)