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Proceedings Paper

An equalization method based on KNN for GPON with PAM4
Author(s): Jie Liu; Jianfei Liu; Xujun Fan; Jia Lu; Xiangye Zeng
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Paper Abstract

A machine learning equalization technique based on KNN for 56Gpbs PAM4-GPONis proposed by nonlinear classification characteristics of KNN. Simulation results show that the proposed method can effectively optimizes the performance of equalization and increase bandwidth of the GPON network.

Paper Details

Date Published: 14 February 2019
PDF: 5 pages
Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110481Y (14 February 2019); doi: 10.1117/12.2522666
Show Author Affiliations
Jie Liu, Hebei Univ. of Technology (China)
Jianfei Liu, Hebei Univ. of Technology (China)
Xujun Fan, Hebei Univ. of Technology (China)
Jia Lu, Hebei Univ. of Technology (China)
Xiangye Zeng, Hebei Univ. of Technology (China)


Published in SPIE Proceedings Vol. 11048:
17th International Conference on Optical Communications and Networks (ICOCN2018)
Zhaohui Li, Editor(s)

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