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Título:
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Reinforcement learning for load management in DiffServ-MPLS mobile networks
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Autor/a:
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Vucevic, Nemanja; Pérez Romero, Jordi; Sallent Roig, José Oriol; Agustí Comes, Ramon
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils |
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Abstract:
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Cognitive networks are envisaged to provide optimized resource usage in future. While heterogeneity and resource scarcity draw research attention to the wireless part, the
rest of the network (mobile backhaul) is rarely considered for these improvements. The future of next generation wireless
networks is probable to be all-IP, where a common flexible infrastructure is looking for dynamic autonomous solutions that cognition may provide.
This work proposes a novel solution, where the introduction of reinforcement learning over multiprotocol label switching (MPLS) in a differentiated services (DiffServ) mobile backhaul should provide autonomous network adaptation aiming at enhanced QoS capabilities. The proposed solution enables intelligent traffic routing by means of distributed reinforcement learning agents that base decisions on edge-gained experience. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
-Cognitive radio networks
-Reinforcement learning
-Xarxes de ràdio cognitiva |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Objeto de conferencia |
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