Optimized Decision Method Based on K-means-TKNN for Coherent Optical Communication Systems

Zixuan Liu, Qi Zhang*, Ran Gao, Xishuo Wang, Dong Guo, Xiangjun Xin, Qinghua Tian, Feng Tian, Huan Chang, Yongjun Wang, Xia Sheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2021 19th International Conference on Optical Communications and Networks, ICOCN 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665424462
DOIs
Publication statusPublished - 2021
Event19th International Conference on Optical Communications and Networks, ICOCN 2021 - Qufu, China
Duration: 23 Aug 202127 Aug 2021

Publication series

Name2021 19th International Conference on Optical Communications and Networks, ICOCN 2021

Conference

Conference19th International Conference on Optical Communications and Networks, ICOCN 2021
Country/TerritoryChina
CityQufu
Period23/08/2127/08/21

Keywords

  • Coherent optical communication
  • Machine learning
  • Nonlinear equalization

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