Nonlinear Interference Mitigation via Deep Neural Networks
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Abstract (arXiv)
A neural-network-based approach is presented to efficiently implement digital backpropagation (DBP). For a 32x100 km fiber-optic link, the resulting "learned" DBP significantly reduces the complexity compared to conventional DBP implementations.
Key facts. Cited by 13 papers in the map (data through 13 Oct 2026). First posted on arXiv 17 Oct 2017.
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Citing papers per year: 2021: 4; 2022: 5; 2023: 4.
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- 2022DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splittingcited by 11
- 2021Interference Suppression Using Deep Learning: Current Approaches and Open Challengescited by 10
- 2022Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementationcited by 7
- 2021Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systemscited by 6
- 2021Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systemscited by 3
- 2021End-to-End Learning of Joint Geometric and Probabilistic Constellation Shapingcited by 2
- 2022FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Trainingcited by 2
- 2022Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systemscited by 1
- 2022Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrayscited by 1
- 2023Neural Network Architectures for Optical Channel Nonlinear Compensation in Digital Subcarrier Multiplexing Systemscited by 1
- 2023Application of Transformers for Nonlinear Channel Compensation in Optical Systemscited by 1
- 2023Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systemscited by 0
- 2023Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems4 Jul 2023
- 2023Equalization in Dispersion-Managed Systems Using Learned Digital Back-Propagation26 May 2023
- 2023Application of Transformers for Nonlinear Channel Compensation in Optical Systems25 Apr 2023
- 2023Neural Network Architectures for Optical Channel Nonlinear Compensation in Digital Subcarrier Multiplexing Systems13 Apr 2023
- 2022DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting11 Dec 2022
- 2022Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays9 Dec 2022
- 2022FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training7 Dec 2022
- 2022Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation26 Aug 2022
- 2022Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems23 May 2022
- 2021Interference Suppression Using Deep Learning: Current Approaches and Open Challenges16 Dec 2021
- 2021End-to-End Learning of Joint Geometric and Probabilistic Constellation Shaping9 Dec 2021
- 2021Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systems18 Oct 2021
- 2022DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splittingcited by 11
- 2021Interference Suppression Using Deep Learning: Current Approaches and Open Challengescited by 10
- 2022Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementationcited by 7
- 2021Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systemscited by 6
- 2021Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systemscited by 3
- 2021End-to-End Learning of Joint Geometric and Probabilistic Constellation Shapingcited by 2
- 2022FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Trainingcited by 2
- 2022Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systemscited by 1
- 2022Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrayscited by 1
- 2023Neural Network Architectures for Optical Channel Nonlinear Compensation in Digital Subcarrier Multiplexing Systemscited by 1
- 2023Application of Transformers for Nonlinear Channel Compensation in Optical Systemscited by 1
- 2023Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systemscited by 0
12 most cited of 13 All 13 (JSON)
- 2023Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems4 Jul 2023
- 2023Equalization in Dispersion-Managed Systems Using Learned Digital Back-Propagation26 May 2023
- 2023Application of Transformers for Nonlinear Channel Compensation in Optical Systems25 Apr 2023
- 2023Neural Network Architectures for Optical Channel Nonlinear Compensation in Digital Subcarrier Multiplexing Systems13 Apr 2023
- 2022DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting11 Dec 2022
- 2022Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays9 Dec 2022
- 2022FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training7 Dec 2022
- 2022Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation26 Aug 2022
- 2022Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems23 May 2022
- 2021Interference Suppression Using Deep Learning: Current Approaches and Open Challenges16 Dec 2021
- 2021End-to-End Learning of Joint Geometric and Probabilistic Constellation Shaping9 Dec 2021
- 2021Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systems18 Oct 2021
12 newest of 13 All 13 (JSON)