BER Simulation in MC-CDMA System over Nakagami-m Channel

This MATLAB code simulates the Bit Error Rate (BER) in MC-CDMA systems over Nakagami-m fading channels. MC-CDMA (Multi-Carrier Code Division Multiple Access) is a multi-carrier system that enables multiple users to transmit data simultaneously. The Nakagami-m channel model is a widely used wireless propagation channel model with broad application scenarios in wireless communications. The following code example demonstrates the complete simulation workflow: % Parameter configuration SNR = 10; % Signal-to-Noise Ratio in dB M = 16; % Modulation order (16-QAM) N = 1000; % Number of simulation trials m = 0.5; % Nakagami-m fading parameter (shape factor) L = 4; % Number of subcarriers % Generate random bit sequence using randi function bits = randi([0 1], N, L*M); % Convert bits to decimal symbols using bi2de with MSB-first formatting symbols = bi2de(bits, 'left-msb'); % Generate Nakagami-m channel gains using gamma distribution % gamrnd generates random numbers from gamma distribution with shape parameter M*m^2 and scale parameter 1/(M*m^2) h = sqrt(gamrnd(M*m^2, 1/(M*m^2), N, L)); % Apply channel effect to transmitted symbols received_signal = symbols .* h; % Add complex AWGN (Additive White Gaussian Noise) % Noise variance is calculated based on SNR value noise = sqrt(1/(2*SNR)) * (randn(N, L) + 1i * randn(N, L)); received_signal = received_signal + noise; % Demodulation and decoding process % qamdemod performs QAM demodulation with unit average power normalization % de2bi converts decimal values back to binary representation decoded_bits = de2bi(qamdemod(received_signal./h, M, 'UnitAveragePower', true), 'left-msb'); % Calculate Bit Error Rate by comparing original and decoded bits ber = sum(sum(bits ~= decoded_bits)) / (N * L * M); % Display simulation results disp(['BER: ', num2str(ber)]); By executing this code, you can simulate the BER performance of MC-CDMA systems under Nakagami-m channel conditions and obtain corresponding results. Adjust parameter values and other details as needed for your specific simulation requirements. The implementation includes proper channel modeling, modulation/demodulation techniques, and statistical BER calculation methods commonly used in wireless communication system analysis.