Performance Analysis of MIMO-LTE over MQAM over fading channels using ANN

  • Darshana Kaushik


LTE (Long Term Evolution) which is a 3GPP (Third Generation Partnership Project) wireless standard uses the standard OFDMA (Orthogonal Frequency Division Multiple Access) modulation, MU-MIMO (Multiuser Multiple Input Multiple Output) technology and different multipath fading models. This paper characterizes the downlink performance of LTE using ANN (Artificial Neural Network). The MIMO technology made a breakthrough in wireless communication by providing high data rate applications to the users and is defined in the LTE standard. ANN is used to provide an estimate of the channel to minimize the deficiencies of multi-user transmission under Rayleigh multipath fading and improve reception of MIMO-OFDM systems by providing superior Bit Error Rate (BER) s. The performance is characterized in terms of BER (Bit Error Rate). In this paper the LTE system is modelled and simulated using MATLAB and the BER for 2×2 and 4×4 MIMO-LTE using ANN and QPSK, 16QAM and 64QAM modulation schemes for Rayleigh fading environment are obtained against different SNR values using ANN.



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How to Cite
Kaushik, D. (2018). Performance Analysis of MIMO-LTE over MQAM over fading channels using ANN. Asian Journal For Convergence In Technology (Founded by ISB &M School of Technology )), 4(I). journals.v4iI.447
Electronics and Telecommunication