Authors : Alaa Shakir, Osama Qasim Jumah Al-Thahab and Laith Ali Abdul-Rahaim
Abstract: The performance of Discrete Wavelet and Fast Fourier Transform (DWT and FFT) is examined in Orthogonal Frequency-Division Multiplexing (OFDM) that uses in the Long-Term Evolution (LTE) system. The DWT has some advantages compared to FFT which enables the operation of a time frequency range that allows accuracy and optimal flexibility. Wavelet has been implemented satisfactorily in the all areas of systems that depend on wireless communication of LTE utilization. In this resaerch, the performance of the LTE system was improved using multiple antenna technology via. the Riley channel. LTE-Based wavelets outperform LTE-based FFT in all scenarios. The Bit Error Rate (BER) is an important thing with the Signal to Noise Ratio (SNR) is founded for the proposed and general system and then a suitable comparison is made between them when using the feed forward neural network equalizer instead of the traditional one. The proposed structure aim to improve the LTE system performance under different channel conditions, so that, a high data rate and a low BER are satisfied. All LTE system Models are employed in MATLAB 2017b to have the ability of varying the system parameters like channel types, channel’s parameters, SNR and BER.
Alaa Shakir, Osama Qasim Jumah Al-Thahab and Laith Ali Abdul-Rahaim, 2019. Design of LTE System by using Neural Network Adaptive Equalizer Based on Discrete Fourier and Wavelet Transforms. Journal of Engineering and Applied Sciences, 14: 9358-9370.