mimo ofdm system that loop over several snr values to get smooth snr vs ber graph in matlab

Here's an example code to simulate a MIMO OFDM system and plot the BER vs SNR graph for different SNR values. The code loops over a range of SNR values defined by snr_range and computes the BER for each SNR value.

main.m
% Define system parameters
num_carriers = 64;
num_symbols = 1000;
num_tx_antennas = 2;
num_rx_antennas = 2;
snr_range = -10:2:20; % range of SNR values to simulate

% Generate random data to transmit
tx_data = randi([0 1], num_carriers*num_symbols*num_tx_antennas, 1);

% Reshape data for MIMO transmission
tx_data_matrix = reshape(tx_data, num_carriers*num_symbols, num_tx_antennas);

% Generate OFDM pilots for channel estimation
pilots = ones(num_carriers, num_symbols);

% Generate MIMO OFDM transmit signal
tx_signal = mimo_ofdm_transmit(tx_data_matrix, num_tx_antennas, num_carriers, pilots);

% Simulate wireless channel
rx_signal = simulate_wireless_channel(tx_signal, num_tx_antennas, num_rx_antennas, snr_range);

% Perform MIMO OFDM receiver processing
rx_data_matrix = mimo_ofdm_receive(rx_signal, num_rx_antennas, num_carriers, pilots);

% Reshape received data for BER computation
rx_data = reshape(rx_data_matrix, num_carriers*num_symbols*num_rx_antennas, 1);

% Compute BER for each SNR value
ber = zeros(size(snr_range));
for i = 1:length(snr_range)
    ber(i) = compute_ber(tx_data, rx_data, snr_range(i));
end

% Plot BER vs SNR graph
figure;
semilogy(snr_range, ber, 'b.-');
xlabel('SNR (dB)');
ylabel('BER');
title('MIMO OFDM BER vs SNR');
grid on;
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To run the simulation, you need to define the following helper functions:

  1. mimo_ofdm_transmit: function that generates the MIMO OFDM transmit signal from the data matrix, number of transmit antennas, number of carriers, and pilots.
  2. simulate_wireless_channel: function that simulates the wireless channel by adding AWGN noise to the transmit signal based on the SNR value.
  3. mimo_ofdm_receive: function that performs MIMO OFDM receiver processing on the received signal to recover the data matrix.
  4. compute_ber: function that computes the BER between the transmit and received data.

Note: This is just an example code to give you an idea of how to simulate a MIMO OFDM system in MATLAB. The actual implementation may vary depending on your specific requirements.

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