Low-Complexity Multi-symbol Output Complex-Valued Neural Network for Nonlinear Equalization in 100G Coherent Photonic-assisted W-band Fiber-wireless Integrated Communication

A low-complexity multi-symbol complex-valued NN nonlinear-equalizer is proposed and experimentally demonstrated in coherent photonics-assisted MMW communication. Effective nonlinear compensation is demonstrated for 100Gbps 16-QAM photonic-assisted W-band signal after fiber-wireless integrated transmission, while the computational complexity is reduced by up to 78.1% compared with single-output NN.

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