Reinforcement Learning Based Routing in All-Optical Networks

Yvan Pointurier; Fariba Heidari

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