@inproceedings{6b87d96eb688467dbfe75ed5d568244e,
title = "Optimized Decision Method Based on K-means-TKNN for Coherent Optical Communication Systems",
abstract = "We proposed a nonlinear equalization method based on K-means-Tailored K-Nearest Neighbors (K-means-TKNN) algorithm. The simulation results show that the computational complexity of K-means-TKNN can be reduced to 20.3% of that of the traditional KNN algorithm for the 64-QAM system.",
keywords = "Coherent optical communication, Machine learning, Nonlinear equalization",
author = "Zixuan Liu and Qi Zhang and Ran Gao and Xishuo Wang and Dong Guo and Xiangjun Xin and Qinghua Tian and Feng Tian and Huan Chang and Yongjun Wang and Xia Sheng",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 19th International Conference on Optical Communications and Networks, ICOCN 2021 ; Conference date: 23-08-2021 Through 27-08-2021",
year = "2021",
doi = "10.1109/ICOCN53177.2021.9563704",
language = "English",
series = "2021 19th International Conference on Optical Communications and Networks, ICOCN 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 19th International Conference on Optical Communications and Networks, ICOCN 2021",
address = "United States",
}