Paper
5 December 2024 Pilot-based shaping entropy identification method of probabilistic shaping signal on elastic optical network
Ziyi Zhang, Qi Zhang, Qihan Zhao, Ran Gao, Feng Tian, Fu Wang, Qinghua Tian, Sitong Zhou, Yi Zhao, Xinyu Yuan, Zhiqi Huang, Yun Wang
Author Affiliations +
Proceedings Volume 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024); 134180M (2024) https://doi.org/10.1117/12.3046017
Event: 15th International Conference on Information Optics and Photonics (CIOP2024), 2024, Xi’an, China
Abstract
To enhance the capacity and reduce the complexity of Elastic Optical Networks (EONs), a pilot-based shaping entropy identification method based on the Probabilistic Shaping (PS) within Orthogonal Frequency-Division Multiplexing (OFDM) systems is proposed. Shaping entropy identification is achieved by utilizing the pilot insertion method, which reduces complexity and operating costs. The proposed scheme has been validated within a PS-64QAM OFDM transmission system operating at a bit rate of 80 Gbit/s. The simulation results show that the proposed method has the ability to achieve a 100% shaping entropy identification rate when the relative amplitude of the pilot is greater than 1.3.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ziyi Zhang, Qi Zhang, Qihan Zhao, Ran Gao, Feng Tian, Fu Wang, Qinghua Tian, Sitong Zhou, Yi Zhao, Xinyu Yuan, Zhiqi Huang, and Yun Wang "Pilot-based shaping entropy identification method of probabilistic shaping signal on elastic optical network", Proc. SPIE 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024), 134180M (5 December 2024); https://doi.org/10.1117/12.3046017
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KEYWORDS
Orthogonal frequency division multiplexing

Signal processing

Elasticity

Modulation

Optical communications

Optical networks

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