ORCID Profile
0000-0001-9274-3300
Current Organisation
Iran University of Science and Technology
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Publisher: Institution of Engineering and Technology (IET)
Date: 17-10-2021
DOI: 10.1049/OTE2.12060
Publisher: IEEE
Date: 24-11-2020
Publisher: Institution of Engineering and Technology (IET)
Date: 20-01-2022
DOI: 10.1049/OTE2.12064
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: Elsevier BV
Date: 2023
Publisher: Optica Publishing Group
Date: 15-07-2022
DOI: 10.1364/AO.461473
Abstract: Optical performance monitoring (OPM) is crucial for facilitating the management of future few-mode fiber (FMF)-based transmissions. OPM deploys fault detection and link diagnosis by measuring the physical layer states and provides feedback to the controller. Recently, machine learning (ML) has gained a lot of attention for OPM, and various ML algorithms were developed, wherein the selection of the proper method is a challenge. Ensemble learning (EL) solves this challenge by combining different ML models however, this simultaneous employment suffers from increased complexity and dependency on the performance of each in idual model. Meta-ensemble learning (MEL) provides a promising solution by intelligently selecting the proper ensemble at each instance. In this work, we employ MEL for OPM in FMF systems. We compare the proposed MEL-based OPM method with naive EL (NEL), which is a well-known EL method. The obtained results indicate that proposed MEL-based OPM method provides better performance with the loss data set size compared with NEL-based OPM. Furthermore, the proposed MEL-based OPM method does not need the feature preprocessing, which is an essential step in other ML algorithms such as NEL-based OPM.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-03-2023
Publisher: Elsevier BV
Date: 12-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Location: Iran (Islamic Republic of)
No related grants have been discovered for S. Alireza Nezamalhosseini.