Digital Communication Systems Using Matlab And Simulink -

Enter and Simulink —two industry-standard platforms that have revolutionized how engineers design, simulate, and prototype digital communication systems. While MATLAB provides a script-based environment for algorithmic exploration and numerical computing, Simulink offers a graphical, model-based design framework for system-level simulation and hardware implementation.

% Plot results semilogy(EbNo_dB, ber, 'bo-'); grid on; xlabel('Eb/No (dB)'); ylabel('BER'); title('BPSK over AWGN Channel'); hold on; semilogy(EbNo_dB, berawgn(EbNo_dB, 'psk', M, 'nondiff'), 'r-'); legend('Simulated', 'Theoretical'); Digital Communication Systems Using Matlab And Simulink

– Insert a Raised Cosine Transmit Filter with 50% roll-off. Oversample by 8 to avoid aliasing. Oversample by 8 to avoid aliasing

As communication standards evolve toward 6G—with terahertz bands, AI-native air interfaces, and reconfigurable intelligent surfaces—MATLAB and Simulink continue to adapt. The recent addition of the and AI for Wireless toolboxes ensures that engineers remain equipped to tackle tomorrow’s challenges. % Modulate modSig = pskmod(data, M); – Add

% Modulate modSig = pskmod(data, M);

– Add AWGN with desired (E_b/N_0). If modeling multipath, insert a Multipath Rayleigh Fading block before AWGN.

– Generate random bits using a Bernoulli Binary Generator.