generate an x-matrix at every iteration by for loop

assume that my iteration is 2000 i want to generate H-matrix at every iteration, soi have 2000 H-matrices for every solution.by using for loop then i need calculate c at every iteration(random because H is a random matrix). also using use for-loop

iterations=2000; % here i assume the iterations

for i=1: iterations

H=sqrt(0.5)*(randn+1i*randn)*(1/sqrt(2)); % my H

end

for i=1: iterations

cdf(idx) = log2(det((eye(Nr(2)))+((SNR(idx)/Nt(2))*abs(H)*(abs(H'))))); % my C

end

%% modify my code because i think it wronge to generate H-matrix at every iteration then i need calculate c at every iteration

%% my H is not a matrix can you show me how to generate the H as matrix

Answer 1

[KALYAN ACHARJYA]

for  idx=1: 2000
    H=sqrt(0.5)*(randn+1i*randn)*(1/sqrt(2)); % my H 
    %cdf=...
end 

#If you wish to save all generated H matrix, use cell array {} to save the H matrix. For cdf case, provide us the Nr or other typical data, so that we can try

cdf(idx) = log2(det((eye(Nr(2)))+((SNR(idx)/Nt(2))*abs(H)*(abs(H'))))); % my C 

[Ali Al raeesi]

Nt = [4 4];

Nr = [1 4];

SNR=-10;

iterations=2000;

for i=1: iterations

H[i]=sqrt(0.5)*(randn+1i*randn)*(1/sqrt(2)); % H

cdf1(idx) = log2(det((eye(Nr(1)))+((SNR(idx)/Nt(1))*abs(H)*(abs(H'))))); % c

cdf2(idx) = log2(det((eye(Nr(2)))+((SNR(idx)/Nt(2))*abs(H)*(abs(H'))))); % c

end

B = sort(cdf2(idx)); % to sort c

X-axis (Sorted c)

Y-axis(CDF: between 1/5000 to 5000/5000) by using for-loop

%% is this the right way as you said

[Bruno Luong]

If you want to generate a random matrix of size (m x n) you should do

randn(m,n)

not

randn 

without argument, which returns a scalar.

[Ali Al raeesi]

Nt = [4 4];

Nr = [1 4];

SNR=-10;

iterations=2000;

for i=1: iterations

H[i]=sqrt(0.5)*(randn(1,2)+1i*randn(1,2))*(1/sqrt(2)); % this way my H will be generated as matrix

cdf1(idx) = log2(det((eye(Nr(1)))+((SNR(idx)/Nt(1))*abs(H)*(abs(H'))))); % c

cdf2(idx) = log2(det((eye(Nr(2)))+((SNR(idx)/Nt(2))*abs(H)*(abs(H'))))); % c

end

B = sort(cdf2(idx)); % to sort c

X-axis (Sorted c)

Y-axis(CDF: between 1/5000 to 5000/5000) by using for-loop