A Deep Learning Enabled MIMO System for Capacity Enhancement in Wireless Networks

It can be concluded from the previous discussions that MIMO systems can be considered to be key enablers in high data rate wireless communications. In the proposed approach, a comparative analysis of OFDM transmission and a combination of OFDM and MIMO has been done. Due to multi path propagation and fading effects, it becomes necessary to employ channel estimation and MIMO decoding in conjugation with equalization. Two deep learning assisted techniques employing MMSE and ZFE techniques are proposed. It can also be concluded that ZFE performs better than the MMSE approach for equalization for MIMO systems. Moreover a comparative analysis with existing work clearly indicates that the proposed work outperforms existing work in terms of error rate, SNR requirement thereby enhancing QoS for massive MIMO systems

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