Paper
14 February 2019 An equalization method based on KNN for GPON with PAM4
Author Affiliations +
Proceedings Volume 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018); 110481Y (2019) https://doi.org/10.1117/12.2522666
Event: 17th International Conference on Optical Communications and Networks (ICOCN2018), 2018, Zhuhai, China
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Liu, Jianfei Liu, Xujun Fan, Jia Lu, and Xiangye Zeng "An equalization method based on KNN for GPON with PAM4 ", Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110481Y (14 February 2019); https://doi.org/10.1117/12.2522666
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KEYWORDS
Evolutionary algorithms

Eye

Signal processing

Machine learning

Optical amplifiers

MATLAB

Optical fibers

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