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Updated: Jun 6, 2025

Quasi-light Storage for Optical Data Packets
Published on: February 6, 2014
Advanced Modulation Formats for 400 Gbps Optical Networks and AI-Based Format Recognition
Zhou He1,2, Hao Huang3, Fanjian Hu4
1Hubei Key Laboratory of Digital Finance Innovation, Hubei University of Economics, Wuhan 430205, China.
This study introduces a novel noncoherent optical network solution using Apol-CRZ-FSK modulation for integrated communication and sensing. It demonstrates superior performance against nonlinear effects and high accuracy in modulation format identification.
Area of Science:
- Optical networking
- Integrated communication and sensing (ICAS)
- Signal processing
Background:
- Optical networks are evolving towards integrating communication and sensing (ICAS) for intelligent systems.
- Co-fiber transmission of communication and sensing signals causes nonlinear interference, increasing bit error rate (BER).
Purpose of the Study:
- To propose and evaluate a noncoherent solution for 4 × 100 Gbps DWDM optical networks supporting ICAS.
- To enhance signal transmission performance and enable reliable signal sensing and recognition.
Main Methods:
- Utilizing the alternate polarization chirped return-to-zero frequency shift keying (Apol-CRZ-FSK) modulation format.
- Employing the Inception-ResNet-v2 convolutional neural network for modulation format identification.
Main Results:
- The Apol-CRZ-FSK solution shows superior resistance to nonlinear effects compared to CRZ-FSK and DQPSK.
- The Inception-ResNet-v2 model achieved the highest performance in identifying three modulation formats among seven deep learning methods.
Conclusions:
- The proposed Apol-CRZ-FSK modulation offers a low-cost, high-performance solution for ICAS optical networks.
- The study provides an effective method for signal recognition in future high-speed optical networks.
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