Input Ordinal Invariant Neural Network based Eigenvalue Demodulator for On-Off Encoded 4096-Ary Multi-Eigenvalue Signal

Introduction: Eigenvalue-modulated signals have invariant carriers even after propagating through the nonlinear fiber channel. The eigenvalues are extracted based on inverse scattering transform (IST) [1]. IST makes a matrix and it is solved by using the QZ method. Then, the QZ outputs the eigenvalues in order of maximum absolute value in the almost case. In the demodulation of the on-off encoded eigenvalue signal, we have proposed employing neural network (NN) on the bit decision [2]. The NN is sensitive to the input order while the higher optical signal-to-noise ratio (OSNR) gain is obtained than the common hard decision. This paper proposes employing deep sets layer on neural eigenvalue demodulation. This paper reports the experimental result of the 50-km fiber transmission.