An Amplified Multi Equalizer Model in LTE-OFDM System for BER Performance

Abstract

Multiple Input and Multiple Outputs (MIMO) in Orthogonal Frequency Division Multiplexing (OFDM) are an amazing strategy to handle multipath interference spread for wideband remote transmission. In this interchange, Long Term Evolution (LTE) is one of the solutions to meet the more critical transmission information rate application. This paper is proposed to diminish the Bit Error Rate (BER) and improve the overall exhibition of the LTE-OFDM model by using differing adjustment procedures under the effect of the Additive White Gaussian Noise (AWGN) channel. LTE passes on more data limit and high-speed accessibility by using more broad channels and more reception apparatus. The balance is performed using multi-equalizers, for instance, Minimum Mean Square Error (MMSE) and Maximum Likelihood Equalizer (MLE). Recreation results demonstrate that the MIMO system has a colossal transmission limit than existing techniques. The multi equalizers have incredible results than singular equalizers for the proposed LTE-OFDM model. The proposed structure is applied in the working phase of MATLAB and the outcomes have been investigated using existing equalizer structures.