mimo ofdm system in matlab

main.m
% Define simulation parameters
N = 64; % number of subcarriers
L = 16; % cyclic prefix length
ntx = 2; % number of transmit antennas
nrx = 2; % number of receive antennas
mod_order = 16; % modulation order (16-QAM)
snr = 10; % signal-to-noise ratio (dB)

% Generate random data bits
data_bits = randi([0 mod_order-1], 1, N*ntx);

% Map data bits to symbols
tx_symbols = qammod(data_bits, mod_order);

% Perform space-time coding
tx_symbols = kron(eye(ntx), tx_symbols).' * dftmtx(ntx);

% Generate OFDM waveform
tx_waveform = ifft(tx_symbols, N, 1);

% Insert cyclic prefix
tx_waveform_cp = [tx_waveform(N-L+1:N,:); tx_waveform];

% Transmit over MIMO channel
h = randn(nrx, ntx) + 1i * randn(nrx, ntx); % MIMO channel matrix
rx_waveform_cp = h * tx_waveform_cp;

% Add noise and other impairments
noise_power = 10^(-snr/10);
noise = sqrt(noise_power/2) * (randn(nrx, N+L) + 1i * randn(nrx, N+L));
rx_waveform_cp = rx_waveform_cp + noise;

% Remove cyclic prefix and perform FFT
rx_waveform = rx_waveform_cp(L+1:end,:);
rx_symbols = fft(rx_waveform, N, 1);

% Decode received symbols
rx_symbols = kron(eye(ntx), rx_symbols).' * dftmtx(ntx)';
rx_bits = qamdemod(rx_symbols, mod_order);

% Calculate bit error rate (BER)
errors = sum(rx_bits ~= data_bits);
ber = errors / length(data_bits);
1289 chars
44 lines