Presentation | 2003/2/11 Reward-Maximized CAC and Routing for Multi-Point Connections VAN Tien PHAM, Yoshiaki TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
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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Committee | OCS |
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Conference Date | 2003/2/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Optical Communication Systems (OCS) |
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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 |
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