Wireless communication systems are able to overcome this in part by using MIMO systems.
MIMO systems ensure high throughput, wide coverage, and reliable services by accounting for
multiple transmitter and receiver antenna counts and allowing for spatial dimension. This study
proposes to build an improved OFDM system with electromagnetic wave disturbances by
applying LDPC coding. On the transmitting end, Digitizing impulses to physical form requires
the employment of encoding and decoding systems, depending regarding the receiving end,
analog signals to digital signals. In order to transport data, quadrature phase shift keying
(QPSK) modulators alter the carrier signal’s frequency and amplitude. Using the Inverse
Discrete Fourier Transform (IDFT) method, one can demodulate the modulated signals. One
popular channel model is additive white Gaussian noise (AWGN). Within digital interpersonal
networks, the Minimum Mean Squared Error (MMSE) equalizer lessens the effect of errors
and noise. ML outperforms previous methods by applying the MMSE and ML equalizers on
the AWGN channel. Demodulators of Quadrature Phase Shift Keying (QPSK) demodulate
signals. The trial was successful, so the methodology is being applied to search for possible
enhancements. This project uses the features of the MATLAB software.