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    Optimizing MIMO-OFDM communication systems: a comparative analysis of LMMSE and LZF equalizers under varying antenna configurations
    (Association for Computing Machinery, 2024) Al-Aanbagi, Sarah; Koyuncu, Hakan
    Orthogonal Frequency Division Multiplexing (OFDM) has emerged as a fundamental modulation technique in modern broadband wireless communication systems, effectively addressing challenges arising from dispersive channels and random fading phenomena. By employing orthogonal subcarrier frequencies, OFDM enables the simultaneous transmission of multiple in-formation symbols, thereby mitigating Inter-Symbol Interference (ISI) often encountered in scenarios characterized by multi-path propagation. In contrast to traditional Frequency Division Multiplexing (FDM) methods, OFDM eliminates the need for guard bands between adjacent frequency bands, thereby improving spectral efficiency for high-speed data transmission. This paper conducts an extensive analysis of Zero Forcing (ZF) and Minimum Mean Squared Error (MMSE) equalizers in wireless Multi-Input Multi-Output (MIMO) systems employing BPSK, QPSK, and 16-PSK modulations. Lever-aging MATLAB-based simulations, diverse configurations involving multiple transmit and receive antennas are explored, yielding insightful findings concerning output Signal-to-Noise Ratio (SNR) and Bit Error Rate (BER). Our study underscores the efficacy of OFDM-MIMO systems with equalizers in enhancing communication performance across a spectrum of wireless scenarios, offering valuable insights for both theoretical exploration and practical implementation.