• Technical Conference:  05 – 09 March 2023
  • Exhibition: 07 – 09 March 2023
  • San Diego Convention Center, San Diego, California, USA
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Poster

Computationally-Efficient Sparsely-Connected Multi-Output Neural Networks for IM/DD System Equalization (W2A.26)

Presenter: Zhaopeng Xu, University of Melbourne

Low-complexity sparsely-connected multi-output neural networks are proposed for equalization in a 50-Gb/s 25-km PAM4 IM/DD system. Compared with traditional fully-connected single-output counterparts, a gross complexity reduction of 60.4%/56.7% can be achieved with 2-layer FNN/C-FNN architecture.

Authors:Zhaopeng Xu, University of Melbourne / Shuangyu Dong, University of Melbourne / Honglin Ji, University of Melbourne / Jonathan Manton, University of Melbourne / William Shieh, University of Melbourne


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