Presentation 2003/2/11
Reward-Maximized CAC and Routing for Multi-Point Connections
VAN Tien PHAM, Yoshiaki TANAKA,
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Abstract(in English) This study introduces Reinforcement Learning (RL) to solve call admission control and routing problem for multi-point connections in networks serving multiple service classes. It presents a model formulating the CAC (Call Admission Control) and Routing as a problem of control, then decomposition is implemented to make the solution manageable. Finally, simulation results demonstrate the prominence of RL-based routing in comparison to MOSPF (Multicast extension to Open Shortest Path First) protocol.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) CAC / Routing / Multi-point Connection / Reinforcement Learning / Reward
Paper # OCS2002-115,NS2002-225
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Conference Information
Committee OCS
Conference Date 2003/2/11(1days)
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Registration To Optical Communication Systems (OCS)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reward-Maximized CAC and Routing for Multi-Point Connections
Sub Title (in English)
Keyword(1) CAC
Keyword(2) Routing
Keyword(3) Multi-point Connection
Keyword(4) Reinforcement Learning
Keyword(5) Reward
1st Author's Name VAN Tien PHAM
1st Author's Affiliation Global Information and Telecommunication Institute, Waseda University()
2nd Author's Name Yoshiaki TANAKA
2nd Author's Affiliation Global Information and Telecommunication Institute, Waseda University:Advanced Research Institute for Science and Engineering, Waseda University
Date 2003/2/11
Paper # OCS2002-115,NS2002-225
Volume (vol) vol.102
Number (no) 649
Page pp.pp.-
#Pages 4
Date of Issue