Deep RMCSA for Resource Allocation in Spectrally-Spatially Flexible Optical Networks

被引：0
|
作者：
Wong, Josh [1 ]
Doan, Natalie [1 ]
Aibin, Michal [1 ]
机构：
[1] British Columbia Inst Technol, Dept Comp, Vancouver, BC, Canada
来源：
2021 IEEE 12TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON) | 2021年
关键词：
optical networks; deep learning; routing;
D O I：
10.1109/UEMCON53757.2021.9666523
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A gradual transition from traditional fixed frequency networks towards Spectrally-Spatially Flexible Optical Networks (SS-FONs) will ensure that networks continue to meet increasing Internet bandwidth demands. The DeepRMCSA algorithm, proposed in this paper, uses deep reinforcement learning to determine the optimal policies for solving the Routing, Modulation, Core and Spectrum Assignment problem in SS-FONs. We evaluate the performance of our algorithm by comparing it with other approaches used in the literature.
引用
收藏
页码：851 / 853
页数：3
相关论文
共 50 条
  • [21] Survivable Routing in Spectrally-Spatially Flexible Optical Networks with Back-to-Back Regeneration
    Walkowiak, Krzysztof
    Lechowicz, Piotr
    Klinkowski, Miroslaw
    PROCEEDINGS OF 2018 10TH INTERNATIONAL WORKSHOP ON RESILIENT NETWORKS DESIGN AND MODELING (RNDM), 2018,
  • [22] Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks
    Ksieniewicz, Pawel
    Goscien, Roza
    Klinkowski, Miroslaw
    Walkowiak, Krzysztof
    COMPUTATIONAL SCIENCE - ICCS 2020, PT IV, 2020, 12140 : 211 - 224
  • [23] Fragmentation-Aware Traffic Grooming with Lane Changes in Spectrally-Spatially Flexible Optical Networks
    Lechowicz, Piotr
    Knapinska, Aleksandra
    Goscien, Roza
    ELECTRONICS, 2021, 10 (12)
  • [24] Energy Consumption Reduction of the Spectrally-Spatially Flexible Optical Networks Based on the Energy Savings Algorithm
    Gotengco, Joseph
    Tran, Justin
    Soukchamroeun, Jason
    de Almeida, Diego Felix
    Aibin, Michal
    2020 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2020,
  • [25] High-Power Jamming Attack Mitigation Techniques in Spectrally-Spatially Flexible Optical Networks
    Savva, Giannis
    Manousakis, Konstantinos
    Rak, Jacek
    Tomkos, Ioannis
    Ellinas, Georgios
    IEEE ACCESS, 2021, 9 : 28558 - 28572
  • [26] Brown-field Gradual Migration Planning Toward Spectrally-Spatially Flexible Optical Networks
    Lechowicz, Piotr
    Perello, Jordi
    Spadaro, Salvatore
    Walkowiak, Krzysztof
    2020 INTERNATIONAL CONFERENCE ON OPTICAL NETWORK DESIGN AND MODELING (ONDM), 2020,
  • [27] Inter-Core Crosstalk Impact on Migration Planning from Elastic Optical Networks to Spectrally-Spatially Flexible Optical Networks
    Lechowicz, Piotr
    Rumipamba-Zambrano, Ruben
    Perello, Jordi
    Spadaro, Salvatore
    Walkowiak, Krzysztof
    2019 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), 2019,
  • [28] Machine Learning Assisted Optimization of Dynamic Crosstalk-Aware Spectrally-Spatially Flexible Optical Networks
    Klinkowski, Miroslaw
    Ksieniewicz, Pawel
    Jaworski, Marek
    Zalewski, Grzegorz
    Walkowiak, Krzysztof
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2020, 38 (07) : 1625 - 1635
  • [29] Introduction of Spectrally and Spatially Flexible Optical Networks
    Xia, Tiejun J.
    Fevrier, Herve
    Wang, Ting
    Morioka, Toshio
    IEEE COMMUNICATIONS MAGAZINE, 2015, 53 (02) : 24 - 33
  • [30] Regression-based fragmentation metric and fragmentation-aware algorithm in spectrally-spatially flexible optical networks
    Lechowicz, Piotr
    Computer Communications, 2021, 175 : 156 - 176
12345