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 language | English |
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Title of host publication | 2021 19th International Conference on Optical Communications and Networks, ICOCN 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665424462 |
DOIs | |
Publication status | Published - 2021 |
Event | 19th International Conference on Optical Communications and Networks, ICOCN 2021 - Qufu, China Duration: 23 Aug 2021 → 27 Aug 2021 |
Publication series
Name | 2021 19th International Conference on Optical Communications and Networks, ICOCN 2021 |
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Conference
Conference | 19th International Conference on Optical Communications and Networks, ICOCN 2021 |
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Country/Territory | China |
City | Qufu |
Period | 23/08/21 → 27/08/21 |
Keywords
- Coherent optical communication
- Machine learning
- Nonlinear equalization
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Liu, Z., Zhang, Q., Gao, R., Wang, X., Guo, D., Xin, X., Tian, Q., Tian, F., Chang, H., Wang, Y., & Sheng, X. (2021). Optimized Decision Method Based on K-means-TKNN for Coherent Optical Communication Systems. In 2021 19th International Conference on Optical Communications and Networks, ICOCN 2021 (2021 19th International Conference on Optical Communications and Networks, ICOCN 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOCN53177.2021.9563704