MATLAB Code Implementation for OFDM Simulation

When implementing OFDM simulation in MATLAB, one can utilize a simple Least Mean Squares (LMS) algorithm for channel estimation combined with Quadrature Differential Phase Shift Keying (QDPSK) modulation. The implementation typically involves generating orthogonal subcarriers using IFFT/FFT operations, with the LMS algorithm adapting filter weights recursively to estimate channel characteristics. To enhance simulation accuracy and reliability, additional channel estimation algorithms such as Minimum Mean Square Error (MMSE) estimation or Maximum Likelihood (ML) estimation can be integrated, which would require implementing covariance matrix calculations or probability density functions respectively. Furthermore, the simulation framework can be extended to explore different modulation schemes like 16-QAM or 64-QAM, requiring constellation mapping modifications, and various channel coding techniques such as convolutional codes or LDPC codes, which would involve adding encoder/decoder modules with appropriate trellis structures or iterative decoding algorithms. These extensions would significantly broaden the scope and depth of the simulation study.