Multiple-Input Multiple Output-Orthogonal Frequency Division Multiplexing System using Improved Wild Horse Optimization for Channel Estimation.

Multiple-Input Multiple Output (MIMO) systems require Orthogonal Frequency Division Multiplexing (OFDM) for effectively operating in multipath communication. Channel estimation is utilized in channel conditions where time-varying features are needed. However, Inter-Symbol Interference (ISI) occurs in MIMO-OFDM due to multi-path propagation, leading to inaccurate channel impulse response estimation. In this research, Improved Wild Horse Optimization (IWHO) is proposed based on three strategies namely, Random Running Strategy (RRS), Dynamic Inertia Weight Strategy (DIWS), and Competition for Waterhole Mechanism (CWHM) for pilot insertion which helps to estimate the channel accurately. IWHO increases the exploitation behavior and optimizes the global solution using three strategies. The input signal is encoded and decoded using Space Time Block Coding (STBC) to transmit data over noisy channels. Quadrature Phase Shift Keying (QPSK) is performed for modulation and demodulation in MIMOOFDM. The Additive White Gaussian Noise (AWGN) channel is employed to transmit signals from the transmitter to the receiver. When compared to the existing techniques, pilot-based interpolation method, Discrete Fourier Transform-Least Square-Wiener (DFT-LS-Wiener), and Binomial Distribution-based Grey Wolf Optimization (BDGWO), the IWHO achieves a lesser Bit Error Rate (BER) of 0.0025 with (dB) being 15. [ABSTRACT FROM AUTHOR]