Modulation Format Identification for Square M-QAM Signals by Using a Neural Network

We propose a modulation format identification method for square M-QAM signals in EON by using a neural network without pre-defined threshold value. We demonstrate identification of QPSK, 16-QAM, 64-QAM formats with a 3 layers neural network.