Digital Communication Systems Using Matlab And Simulink Access

%% End-to-End 16-QAM Digital Communication Simulation clear; clc; close all; % 1. System Parameters M = 16; % Modulation order (16-QAM) k = log2(M); % Bits per symbol numBits = 1e5; % Number of bits to transmit EbNo_dB = 0:2:12; % Eb/No range in dB for evaluation % Pre-allocate arrays for results berEmpirical = zeros(size(EbNo_dB)); berTheoretical = zeros(size(EbNo_dB)); % 2. Generate Random Binary Data txBits = randi([0 1], numBits, 1); % 3. Bit-to-Symbol Mapping (Integer conversion for QAM) txSymbols = bit2int(txBits, k); % 4. Modulate Signals modulatedSignal = qammod(txSymbols, M, 'UnitAveragePower', true); % 5. Channel Simulation Loop (Varying Noise Levels) for idx = 1:length(EbNo_dB) % Convert Eb/No to SNR snr = EbNo_dB(idx) + 10*log10(k); % Pass signal through AWGN channel rxSignal = awgn(modulatedSignal, snr, 'measured'); % 6. Receiver Processing (Demodulation) rxSymbols = qamdemod(rxSignal, M, 'UnitAveragePower', true); % Symbol-to-Bit Mapping rxBits = int2bit(rxSymbols, k); % 7. Error Rate Calculation [~, berEmpirical(idx)] = biterr(txBits, rxBits); % Calculate Theoretical Performance for Reference berTheoretical(idx) = berawgn(EbNo_dB(idx), 'qam', M); end % 8. Plot Performance Results figure; semilogy(EbNo_dB, berTheoretical, 'r-', 'LineWidth', 2); hold on; semilogy(EbNo_dB, berEmpirical, 'bo--', 'MarkerFaceColor', 'b'); grid on; legend('Theoretical 16-QAM', 'Empirical 16-QAM'); xlabel('E_b/N_0 (dB)'); ylabel('Bit Error Rate (BER)'); title('16-QAM Communication System Performance in AWGN'); Use code with caution. Developing Advanced Communications Systems in Simulink

This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. Digital Communication Systems Using Matlab And Simulink

Simulink shines when modeling time-varying behavior, hardware pipelines, and multirate systems. Drag and drop the block. Connect it to the AWGN Channel block. Route the output to the M-QAM Demodulator Baseband block. Use visual scopes to observe data transitions in real time. Analyzing System Performance and multirate systems.