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http://hdl.handle.net/10397/95340
Title: | An optical communication's perspective on machine learning and its applications | Authors: | Khan, FN Fan, Q Lu, C Lau, APT |
Issue Date: | 15-Jan-2019 | Source: | Journal of lightwave technology, 15 Jan. 2019, v. 37, no. 2, 8633908, p. 493-516 | Abstract: | Machine learning (ML) has disrupted a wide range of science and engineering disciplines in recent years. ML applications in optical communications and networking are also gaining more attention, particularly in the areas of nonlinear transmission systems, optical performance monitoring, and cross-layer network optimizations for software-defined networks. However, the extent to which ML techniques can benefit optical communications and networking is not clear and this is partly due to an insufficient understanding of the nature of ML concepts. This paper aims to describe the mathematical foundations of basic ML techniques from communication theory and signal processing perspectives, which in turn will shed light on the types of problems in optical communications and networking that naturally warrant ML use. This will be followed by an overview of ongoing ML research in optical communications and networking with a focus on physical layer issues. | Keywords: | Artificial intelligence Deep learning Machine learning Optical communications Optical performance monitoring Software-defined networks |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | Journal of lightwave technology | ISSN: | 0733-8724 | EISSN: | 1558-2213 | DOI: | 10.1109/JLT.2019.2897313 | Rights: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication F. N. Khan, Q. Fan, C. Lu and A. P. T. Lau, "An Optical Communication's Perspective on Machine Learning and Its Applications," in Journal of Lightwave Technology, vol. 37, no. 2, pp. 493-516, 15 Jan.15, 2019 is available at https://doi.org/10.1109/JLT.2019.2897313. |
Appears in Collections: | Journal/Magazine Article |
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Optical_Communications_Perspective.pdf | Pre-Published version | 2.78 MB | Adobe PDF | View/Open |
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