In this paper, a Mode division multiplexing (MDM) optical transmission system that uses deep learning neural network (DLNN) for Multiple Input Multiple Output (MIMO) detection is presented. Two channels operating at 250Mbps are QPSK modulated and transmitted at different mode through a Multi-Mode fiber and successfully detected. For MIMO detection, a supervised DLNN, which is designed, trained and evaluated using a Keras library and TensorFlow, is implemented in this MDM optical transmission system. The performance of our DLNN for MIMO detection is compared with Zero Forcing and Semi-Definite Relaxation Row-by-Row detectors. Our DLNN outruns the performance of these MIMO detectors.
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