Machine Learning Techniques for Estimating the Quality of Transmission of Lightpaths

被引：0
|
作者：
Tremblay, Christine [1 ]
Aladin, Sandra [1 ]
机构：
[1] Ecole Technol Super, Elect Engn Dept, Network Technol Lab, Montreal, PQ, Canada
来源：
2018 IEEE PHOTONICS SOCIETY SUMMER TOPICAL MEETING SERIES (SUM) | 2018年
基金：
加拿大自然科学与工程研究理事会;
关键词：
Communications technology; optical fiber networks; WDM networks; machine learning; supervised learning; support vector machines; cognitive systems; AWGN; quality of transmission;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We discuss the use of machine learning (ML) techniques for estimating the quality of transmission (QoT) of lightpaths in coherent uncompensated WDM links and show the potential benefits of cognitive QoT estimation tools through a comparative performance analysis of ML-based classifiers using synthetic BER data.
引用
下载
收藏
页码：237 / 238
页数：2
相关论文
共 50 条
  • [11] An experimental result of estimating an application volume by machine learning techniques
    Hasegawa, Tatsuhito
    Koshino, Makoto
    Kimura, Haruhiko
    SPRINGERPLUS, 2015, 4
  • [12] Estimating Warehouse Rental Price using Machine Learning Techniques
    Ma, Y.
    Zhang, Z.
    Ihler, A.
    Pan, B.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2018, 13 (02) : 235 - 250
  • [13] Estimating VNF Resource Requirements Using Machine Learning Techniques
    Jmila, Houda
    Ibn Khedher, Mohamed
    El Yacoubi, Mounim A.
    NEURAL INFORMATION PROCESSING, ICONIP 2017, PT I, 2017, 10634 : 883 - 892
  • [14] Quality of Transmission Estimation and Short-Term Performance Forecast of Lightpaths
    Aladin, Sandra
    Tran, Anh Vu Stephan
    Allogba, Stephanie
    Tremblay, Christine
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2020, 38 (10) : 2806 - 2813
  • [15] Estimating the vertical profile of water quality variables in reservoirs: Application of remotely sensed data and machine learning techniques
    Shahi, Farnaz Sadat
    Nikoo, Mohammad Reza
    Vanda, Sadegh
    Nehi, Sadegh Mishmast
    Kerachian, Reza
    Science of the Total Environment, 2024, 957
  • [16] Welding Process Quality Improvement with Machine Learning Techniques
    Cruz, Saulo
    Gilabert, Eduardo
    Arnaiz, Aitor
    IFAC PAPERSONLINE, 2021, 54 (01): : 343 - 348
  • [17] Comparison of Machine Learning Techniques for Software Quality Prediction
    Goyal, Somya
    INTERNATIONAL JOURNAL OF KNOWLEDGE AND SYSTEMS SCIENCE, 2020, 11 (02) : 20 - 40
  • [18] Quality Assessment of Crops using Machine Learning Techniques
    Chokey, Tenzin
    Jain, Sarika
    PROCEEDINGS 2019 AMITY INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AICAI), 2019, : 259 - 263
  • [19] Estimating In Situ Shear Wave Velocity Using Machine Learning Techniques
    Jin, Longde
    Fuggle, Andrew
    Roberts, Haley
    Armstrong, Christian P.
    Pua, Lina-Maria
    GEO-CONGRESS 2024: GEOTECHNICAL DATA ANALYSIS AND COMPUTATION, 2024, 352 : 436 - 444
  • [20] Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review
    Glory O.Adebayo
    Roman V.Yampolskiy
    Big Data Mining and Analytics, 2022, (03) : 163 - 191
12345