High-Speed Dispersion-Unmanaged DML-Based IM-DD Optics at C-band With Advanced Nonlinear Equalization and Noise Whitening

Wu, Qi; Xu, Zhaopeng; Zhu, Yixiao; Ji, Tonghui; Ji, Honglin; Yang, Yu; Qiao, Gang; Cheng, Chen; Tang, Jianwei; Zhao, Tianfeng; Liang, Junpeng; Liu, Lulu; Wang, Shangcheng; He, Zhixue; Wei, Jinlong; Zhuge, Qunbi; Hu, Weisheng

doi:10.1109/jlt.2024.3399209

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2024

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Cited by 3 publications

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Key Enablers for Hardware-Efficient Neural Network Receiver in Short-Reach Optical Links

Xu,

Hu,

Shieh

2024

2024 22nd International Conference on Optical Communications and Networks (ICOCN)

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Key Enablers for Hardware-Efficient Neural Network Receiver in Short-Reach Optical Links

Xu,

Hu,

Shieh

2024

2024 22nd International Conference on Optical Communications and Networks (ICOCN)

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Analysis of the Impact of Dfb Analog Direct Modulation Laser and Optical Link Configuration on the Performance of a 50 Km Spool Fiber Phase-Stabilized Transmission System

yin,

zhou,

Peng

et al. 2024

Preprint

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Advanced Neural Network-Based Equalization in Intensity-Modulated Direct-Detection Optical Systems: Current Status and Future Trends

Xu,

Ji,

et al. 2024

Photonics

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Intensity-modulated direct-detection (IM/DD) optical systems are most widely employed in short-reach optical interconnects due to their simple structure and cost-effectiveness. However, IM/DD systems face mixed linear and nonlinear channel impairments, mainly induced by the combination of square-law detection and chromatic dispersion, as well as the utilization of low-cost non-ideal transceivers. To solve this issue, recent years have witnessed a growing trend of introducing machine learning technologies such as neural networks (NNs) into IM/DD systems for channel equalization. NNs usually present better system performance than traditional approaches, and various types of NNs have been investigated. Despite the excellent system performance, the associated high computational complexity is a major drawback that hinders the practical application of NN-based equalizers. This paper focuses on the performance and complexity trade-off of NNs employed in IM/DD systems, presenting a systematic review of the current status of NN-based equalizers as well as a number of effective complexity reduction approaches. The future trends of leveraging advanced NN in IM/DD links are also discussed.

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High-Speed Dispersion-Unmanaged DML-Based IM-DD Optics at C-band With Advanced Nonlinear Equalization and Noise Whitening

Cited by 3 publications

References 45 publications

Key Enablers for Hardware-Efficient Neural Network Receiver in Short-Reach Optical Links

Key Enablers for Hardware-Efficient Neural Network Receiver in Short-Reach Optical Links

Analysis of the Impact of Dfb Analog Direct Modulation Laser and Optical Link Configuration on the Performance of a 50 Km Spool Fiber Phase-Stabilized Transmission System

Advanced Neural Network-Based Equalization in Intensity-Modulated Direct-Detection Optical Systems: Current Status and Future Trends

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