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K-means-based channel equalization method for polarization-division-multiplexed optical OFDM/OQAM systems

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Published:19 December 2019Publication History

ABSTRACT

In this work, we systemically analysis a k-means-clustering-based method to implement channel equalization for PDM fiber OFDM/OQAM system. We have experimentally demonstrated that the proposed k-means-based fiber nonlinearity mitigation technique is able to reduce computational complexity and improve the BER performance. Compared with the classical k-means clustering algorithm, the proposed method can quickly find appropriate initial centroids and correctly choose the centroids of the clusters to obtain the global optimal solutions.

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  1. K-means-based channel equalization method for polarization-division-multiplexed optical OFDM/OQAM systems

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      cover image ACM Other conferences
      AIIPCC '19: Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing
      December 2019
      464 pages
      ISBN:9781450376334
      DOI:10.1145/3371425

      Copyright © 2019 ACM

      © 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      New York, NY, United States

      Publication History

      • Published: 19 December 2019

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      AIIPCC '19 Paper Acceptance Rate78of211submissions,37%Overall Acceptance Rate78of211submissions,37%

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