matlab code for distributed rate and power control protocol in wireless communication.

i want to make a combine code for distributed/decentralized rate and power control protocol for csma networks. my problem is related to wireless communication.

Answer 1

[Yash]

I am assuming that you want the code for a MIMO system.

Here is a basic code that I wrote some time ago

% Note: This is a basic combine MATLAB code for distributed rate and power control protocol in wireless communication.

count_antennas = 4;

count_users = 4;

snr_target = 20; % target SNR in dB

p_max = 10^(0.1*10)*ones(n_users, 1); % maximum transmit power of each user

% initialize variables

h = randn(count_users, count_antennas); % channel matrix for each user

p = zeros(count_users, 1); % transmit power of each use

rate = zeros(count_users, 1); % data rate of each user

rate_total = 0; % total data rate across all users

% iteratively adjust transmit power and rate allocation until convergence

while true

% calculate the channel inversion matrix for each user

w = zeros(count_users, count_antennas);

for i = 1:count_users

w(i,:) = h(i,:)'/(h(i,:)*h(i,:)'+eps);

end

% calculate link SNR and rate for each user

for i = 1:count_users

snr = p(i)*w(i,:)*h([1:i-1 i+1:end],:)*(w([1:i-1 i+1:end],:)*h([1:i-1 i+1:end],:)'+eye(n_antennas))+eps;

rate(i) = 1/2*log2(1+snr);

end

% update the value of the total rate

rate_total_prev = rate_total;

rate_total = sum(rate);

% calculate the absolute difference in total rate from the target

rate_diff = abs(rate_total - snr_target);

% if target rate is achieved or iterations exceed a threshold, stop iterating

if rate_diff < 0.01 || abs(rate_total - rate_total_prev) < 0.01 || iterations > 20

break

end

% adjust transmit power and rate allocation

for i = 1:count_users

p(i) = max(min(p_max(i), p(i)*2^(rate_diff/n_users/rate(i))), 10^(-10)); % iterative power control

end

end

disp("Powers:");

disp(p);

disp("Rates:");

disp(rate);