How to maximize achievable Rate for spectrum sharing in MIMO?
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Antworten (1)
Hi @Nasrin ,
After analyzing your error you encountered regarding cvx_begin, I did some research and find out that you probably need to make sure that the CVX package is correctly installed and initialized in your MATLAB environment.
CVX installation instructions
Download the CVX package from
https://cvxr.com/cvx/download/
Unzip the downloaded files into your directory then add the CVX folder to your Matlab path using:
addpath('path_to_cvx_directory');
Afterwards, initialize CVX by running the command:
cvx_setup;
This command will set up CVX and check for any missing components.
Update Code
Here’s an updated version of your code with additional checks for clarity and error handling:
% Define constants
Ns = 4; % Number of secondary users
Ms = 20;
Nup = 200; % value for Nup
Nt = 12; % value for Nt
Np = 200; % value for Np
sigma2_dBm = -104; % Noise power in dB
tilde_P2_dBW = 20; % Maximum power constraint for secondary users
xi_k = rand(Ns, 1); % Example values for xi_k, replace with actual values
hat_zeta1_l = rand(Np, 1); % Example values for hat_zeta1_l, replace with actual values
% Convert dB to linear
tilde_P2 = 10^(tilde_P2_dBW/10);
sigma2 = 10^(sigma2_dBm/10 - 3); % Convert dBm to mW then to W
% Initialize CVX optimization
cvx_begin quiet
variables P2(Ns,1) W2(Ms,Ns)
expression gamma_2k(Ns)
expression log_terms(Ns)
% Calculate gamma_2k and log terms
for k = 1:Ns
gamma_2k(k) = P2(k) / (sigma2 * square_pos(W2(k)));
log_terms(k) = log(1 + gamma_2k(k));
end
% Objective function
maximize((Nup - Nt) / Nup * sum(log_terms))
% Constraints subject to
for k = 1:Ns
0 <= P2(k) <= tilde_P2 / Ns;
for l = 1:Np
sum(P2(k) .* xi_k) <= hat_zeta1_l(l);
end
end
cvx_end
% Check if optimization was successful
if strcmp(cvx_status, 'Solved')
disp('Optimization successful!');
else
disp('Optimization failed!');
end
In the code, you will see the addition of a check on cvx_status which allows you to identify whether the optimization was successful. Also, make sure that square_pos is defined elsewhere in your code or replace it with a suitable function if it's not recognized and when you are working with larger datasets or more complex models, consider optimizing your constraints or objective function further to improve performance.
Hope this helps. Please let us know if you have any further questions.
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