MIMO-OFDM System Simulation in MATLAB: BER Analysis Step-by-Step

MIMO-OFDM System Simulation in MATLAB: BER Analysis Step-by-Step is most useful as a research topic when the simulation is treated as an experiment rather than a demonstration. The central objective is MIMO-OFDM baseband/link simulation with BER and channel effects. A strong study fixes the plant and test conditions, defines a baseline, changes one research factor at a time and reports numerical evidence alongside plots.

For doctoral and postgraduate work, the model should make every assumption visible: rated values, data sources, solver settings, controller sampling, initial conditions, boundary conditions and disturbance definitions. This makes the results easier to defend in a thesis, reproduce later and convert into a publication-oriented comparison.

1. Set modulation order, FFT size, cyclic prefix and frame format.
2. Implement MIMO channel and selected spatial processing.
3. Add pilot/channel estimation and equalisation.
4. Sweep SNR over a reproducible Monte-Carlo test.
5. Compare antenna counts, modulation or detection algorithms.
6. Plot BER and throughput-related results.

Use numerical metrics that map directly to the research objective. Recommended outputs for this topic include:

• BER versus Eb/N0
• spectral efficiency
• channel-estimation error
• throughput
• diversity gain
• algorithm complexity

To turn this topic into a stronger research contribution, start with one baseline and one proposed method, then extend the validation using massive-MIMO scaling, coding comparison, Doppler/mobility. The final results section should explain why the proposed method changes the engineering behaviour, not only whether the output curve looks smoother. Include failure cases or operating limits when they reveal the boundary of the method.

• massive-MIMO scaling
• coding comparison
• Doppler/mobility
• RIS-assisted MIMO-OFDM