Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey
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.
Code (0)
등록된 구현이 없습니다.
Tasks
ManagementSurveySimilar Papers 제목 키워드 기반
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey
With the rapid development of Internet and communication systems, both in services and technologies, communication networks have been suffering increasing complexity. It is imperative to improve intelligence in communica…
BIG-bench Machine LearningManagementSurveyAI Methods in Algorithmic Composition: A Comprehensive Survey
Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for…
Evolutionary AlgorithmsSurveyComprehensible Artificial Intelligence on Knowledge Graphs: A survey
Artificial Intelligence applications gradually move outside the safe walls of research labs and invade our daily lives. This is also true for Machine Learning methods on Knowledge Graphs, which has led to a steady increa…
Explainable artificial intelligenceInterpretable Machine LearningKnowledge GraphsSurveyFake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
In recent years, generative artificial intelligence models, represented by Large Language Models (LLMs) and Diffusion Models (DMs), have revolutionized content production methods. These artificial intelligence-generated …
DeepFake DetectionFace SwappingHallucinationMisinformationEmerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis
Spatial transcriptomics (ST) has advanced significantly in the last few years. Such advancement comes with the urgent need for novel computational methods to handle the unique challenges of ST data analysis. Many artific…
Survey