DocumentCode
1955714
Title
Reinforcement learning based routing in all-optical networks
Author
Pointurier, Yvan ; Heidari, Fariba
Author_Institution
Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada
fYear
2007
fDate
10-14 Sept. 2007
Firstpage
919
Lastpage
921
Abstract
We present and evaluate a reinforcement learning-based 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;
fLanguage
English
Publisher
ieee
Conference_Titel
Broadband Communications, Networks and Systems, 2007. BROADNETS 2007. Fourth International Conference on
Conference_Location
Raleigh, NC, USA
Print_ISBN
978-1-4244-1432-1
Electronic_ISBN
978-1-4244-1433-8
Type
conf
DOI
10.1109/BROADNETS.2007.4550533
Filename
4550533
Link To Document