# Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey

arXiv: https://arxiv.org/abs/1801.01704 · HTML: https://mlsanity.com/paper/1801.01704/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jan 2018.

## Built on by (most cited first, 4 of 4)

- [Time-Series Pattern Recognition in Smart Manufacturing Systems: A Literature Review and Ontology](https://mlsanity.com/paper/2301.12495/) (2023)
- [The Next Decade of Telecommunications Artificial Intelligence](https://mlsanity.com/paper/2101.09163/) (2021)
- [Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G](https://mlsanity.com/paper/2502.15731/) (2025)
- [An Overview of Machine Learning-aided Optical Performance Monitoring Techniques](https://mlsanity.com/paper/2107.07338/) (2021)

## Abstract (arXiv)

Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction. This paper presents a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks. The use of AI-based techniques is first studied in applications related to optical transmission, ranging from the characterization and operation of network components to performance monitoring, mitigation of nonlinearities, and quality of transmission estimation. Then, applications related to optical network control and management are also reviewed, including topics like optical network planning and operation in both transport and access networks. Finally, the paper also presents a summary of opportunities and challenges in optical networking where AI is expected to play a key role in the near future.