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Towards Low Computational Complexity for Neural Network-Based Equalization in PAM4 Short-Reach Direct Detection Systems by Multi-Symbol Prediction (Th1A.47)

Presenter: Zhaopeng Xu, University of Melbourne

We propose NN-based multi-symbol equalization for a 50-Gb/s PAM4 direct-detection link which significantly reduces computational complexity without sacrificing BER performance of conventional single-output NNs. Complexity reduction of 42.7% is achieved when 8 outputs are selected.

Authors:Zhaopeng Xu, University of Melbourne / Chuanbowen Sun, University of Melbourne / Shuangyu Dong, University of Melbourne / Jonathan Manton, University of Melbourne / William Shieh, University of Melbourne


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