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4th International IEEE Conference on Broadband Communications, Networks, Systems

Research Article

Reinforcement Learning Based Routing in All-Optical Networks

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/BROADNETS.2007.4550533,
        author={Yvan Pointurier and Fariba Heidari},
        title={Reinforcement Learning Based Routing in All-Optical Networks},
        proceedings={4th International IEEE Conference on Broadband Communications, Networks, Systems},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2010},
        month={5},
        keywords={All-optical networks  Bit error rate  Circuits  Computational complexity  Computer network management  Computer networks  Learning  Technology management  Wavelength assignment  Wavelength routing},
        doi={10.1109/BROADNETS.2007.4550533}
    }
    
  • Yvan Pointurier
    Fariba Heidari
    Year: 2010
    Reinforcement Learning Based Routing in All-Optical Networks
    BROADNETS
    IEEE
    DOI: 10.1109/BROADNETS.2007.4550533
Yvan Pointurier1,*, Fariba Heidari1,*
  • 1: Department of Electrical and Computer Engineering McGill University, Montreal, QC
*Contact email: yvan.pointurier@mail.mcgill.ca, fariba.heidari@mail.mcgill.ca

Abstract

We present and evaluate a reinforcement learningbased RWA algorithm for all-optical networks subject to physical impairments. The technique is suitable for decentralized networks and is compared with other techniques with similar computational complexity.

Keywords
All-optical networks Bit error rate Circuits Computational complexity Computer network management Computer networks Learning Technology management Wavelength assignment Wavelength routing
Published
2010-05-16
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.1109/BROADNETS.2007.4550533
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