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
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;
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
DOI :
10.1109/BROADNETS.2007.4550533
