Hamid aghvami biography sample paper
Hamid aghvami biography sample paper
Biography sample for work.
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more In this work, a deep learning-based symbol detection method is developed for multiuser multipleinput multiple-output (MIMO) systems. We demonstrate that the linear threshold-based detection methods, which were designed for AWGN channels, are suboptimal in the context of MIMO fading channels.
Furthermore, we propose a MIMO detection framework which replaces the linear thresholds with decision boundaries trained with neural network (NN) classifiers. The symbol error rate (SER) performance of the proposed detection model is compared against conventional methods under state-of-theart system