OFDM Implementation in MATLAB with Bit Error Rate Analysis

Implementing OFDM in MATLAB involves the following key steps with technical implementation details: - Data Generation: Create random binary data streams using functions like randi() or randn() to simulate source data, typically organized into frames for processing. - Modulation: Map binary data to complex symbols using digital modulation schemes like QPSK or 16-QAM through constellation mapping, implemented with pskmod() or qammod() functions. - Data Transmission: Convert frequency-domain symbols to time-domain OFDM signals using IFFT (ifft() function) with proper subcarrier allocation, adding cyclic prefix to mitigate inter-symbol interference. - Channel Impairment: Simulate realistic channel conditions using AWGN (awgn() function) for noise addition and multipath fading models (rayleighchan() or ricianchan()) to represent signal distortion and interference. - Demodulation: Perform time-to-frequency domain conversion using FFT (fft() function) after cyclic prefix removal, followed by symbol demapping using pskdemod() or qamdemod() functions. - Data Reception: Recover binary information from demodulated symbols through decision logic and frame synchronization algorithms. - BER Calculation: Compare transmitted and received bit sequences using biterr() function to compute Bit Error Rate (BER) by counting mismatched bits over total transmitted bits. - BER Visualization: Plot BER versus Signal-to-Noise Ratio (SNR) using semilogy() function to create logarithmic-scale graphs that clearly demonstrate system performance under varying channel conditions. Each step includes proper parameter configuration such as FFT size, cyclic prefix length, and modulation order to ensure accurate OFDM system simulation. The implementation typically involves loop structures to test multiple SNR values and collect statistical BER results for comprehensive performance analysis.