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Copy pathConventional_OFDM.m
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Copy pathConventional_OFDM.m
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153 lines (130 loc) · 4.76 KB
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clc;
clear all;
%%
N = 64; % # of SCs
Q = 2;
SE = log2(Q);
SNRdB = 25;
SNR = 10.^(SNRdB/10);
N0 = 1./SNR; %Noise variance
sigma = sqrt(N0/2);
nFram = 50000; %Number of transmitted OFDM frame (increase this to get more accurate results in high SNR region)
ss = qammod(0:Q-1, Q, UnitAveragePower = true);
K = 4; % Number of rotations
% for k = 1:K
% SS{k} = ss * exp(1j*k*pi/K); % Rotation
% end
SS{1} = ss;
%%% Channel Delay Profile
P = 5;
EYE_MAT = (eye(N));
PI_mat = ([EYE_MAT(:, 2:end) EYE_MAT(:, 1)]); %Cyclic shift matrix for delay paths
Fn = dftmtx(N); %% Normalized N-point FFT matrix
Fn = Fn./norm(Fn); %% Normalized N-point FFT matrix
%%
totalError = zeros(nFram,1);
parfor i = 1:nFram
%%%Channel
hAB = sqrt(1/P).*(sqrt(1/2) * (randn(1,P)+1i*randn(1,P)));%channel coefs for the channel between Alice and Bob
sigmae2 = 1e-3; %Ch. error variance
chErr = sqrt(sigmae2/2) * (randn(1,P)+1i*randn(1,P));%Error coefficients
hABe = hAB + chErr;% Ch. coefs with errors
hAE = sqrt(1/P).*(sqrt(1/2) * (randn(1,P)+1i*randn(1,P)));%channel coefs for the channel between Alice and Eve
Hab=zeros(N);
Hae=zeros(N);
HabE=zeros(N);
for j = 1:P
Hab = Hab + hAB(j)*(PI_mat^(j-1));
HabE = HabE + hABe(j)*(PI_mat^(j-1));
Hae = Hae + hAE(j)*(PI_mat^(j-1));
end
Hf_AB = Fn*Hab*Fn'; %Frequency domain channel response (will be used in equalizing)
phaseABf = angle(sum(diag(Hf_AB)));
Hf_ABe = Fn*HabE*Fn'; %Frequency domain channel response (will be used in equalizing)
phaseABef = angle(sum(diag(Hf_ABe)));
Hf_AE = Fn*Hae*Fn'; %Frequency domain channel response (will be used in equalizing)
phaseAEf = angle(sum(diag(Hf_AE)));
% phaseAB = angle(sum(hAB));
% phaseABe = angle(sum(hAB));
% phaseAE = angle(sum(hAE));
% phases = linspace(-pi, pi, K);
%
% [~, idxAB] = min(abs(phases - phaseABf));
% [~, idxABe] = min(abs(phases - phaseABef));
% [~, idxAE] = min(abs(phases - phaseAEf));
%
% ssAB = exp(1j*phaseAB)*SS{idxAB};
% ssABe = exp(1j*phaseABe)*SS{idxABe};
% ssAE = exp(1j*phaseAE)*SS{idxAE};
% ssAB = exp(1j*phaseAB)*SS{1};
ssAB = SS{1};
ssABe = SS{1};
% ssAE = SS{1};
% ssAE = exp(1j*phaseAE)*SS{1};
%%%Channel
%%% Transmitter
nbits = SE*N; %Number of random bits
bits = reshape(randi([0 1],nbits,1),N,SE); % Randomly generated bits
xDec = bi2de(bits,'left-msb')+1; %Decimal equivalents of bits
x = ssAB(xDec).'; %Corresponding QAM symbols
s = Fn'*x;
%%% Transmitter
%%%Receiver
%Bob
w_AB = sigma*(randn(size(s)) + 1i*randn(size(s))); %Generating AWGN noise
yF_AB = Hf_AB*x + Fn*w_AB; %effective domain
Hf_AB = diag(Hf_AB);
% yTilda_AB = yF_AB./Hf_AB; %Equalizer
%Bob with errorneus channel
Hf_ABe = diag(Hf_ABe);
% yTilda_ABe = yF_AB./Hf_ABe; %Equalizer
% yTilda_ABe = reshape(yTilda_ABe,G,n);
%Eve
% w_AE = sigma*(randn(size(s)) + 1i*randn(size(s))); %Generating AWGN noise
% yF_AE = Hf_AE*x + Fn*w_AE; %effective domain
% Hf_AE = diag(Hf_AE);
% yTilda_AE = yF_AE./Hf_AE; %Equalizer
detectedInt_AB = zeros(N,1);
detectedInt_ABe = zeros(N,1);
% detectedInt_AE = zeros(N,1);
for k = 1:1:length(yF_AB) %Bit detector
metric_AB = zeros(1,Q);
metric_ABe = zeros(1,Q);
% metric_AE = zeros(1,Q);
for j = 1:Q
metric_AB(j) = norm(yF_AB(k)-Hf_AB(k).*ssAB(j)).^2;
metric_ABe(j) = norm(yF_AB(k)-Hf_ABe(k).*ssABe(j)).^2;
% metric_AE(j) = norm(yF_AE(k)-Hf_AE(k).*ssAE(j)).^2;
end
[~, minInd_AB] = min(metric_AB);
detectedInt_AB(k) = minInd_AB-1;
[~, minInd_ABe] = min(metric_ABe);
detectedInt_ABe(k) = minInd_ABe-1;
% [~, minInd_AE] = min(metric_AE);
% detectedInt_AE(k) = minInd_AE-1;
end
decodedBits_AB = int2bit(detectedInt_AB.',SE).';
decodedBits_ABe = int2bit(detectedInt_ABe.',SE).';
% decodedBits_AE = int2bit(detectedInt_AE.',SE).';
%%%Receiver
error_AB = xor(bits,decodedBits_AB);
totalError_AB(i) = sum(error_AB(:));
BER_AB(i) = totalError_AB(i)/numel(bits);
error_ABe = xor(bits,decodedBits_ABe);
totalError_ABe(i) = sum(error_ABe(:));
BER_ABe(i) = totalError_ABe(i)/numel(bits);
% error_AE = xor(bits,decodedBits_AE);
% totalError_AE(i) = sum(error_AE(:));
% BER_AE(i) = totalError_AE(i)/numel(bits);
end
ERROR_AB = sum(totalError_AB)
AvgBER_AB = mean(BER_AB)
ERROR_ABe = sum(totalError_ABe);
AvgBER_ABe = mean(BER_ABe)
% ERROR_AE = sum(totalError_AE);
% AvgBER_AE = mean(BER_AE)
%%
BER_ORJ = [];
BER_PRP = [];
BER_PER = [];
BER_EVE = [];