This paper proposes a Reinforcement Learningbased lexicographic approach to the Call Admission Control (CAC) problem in communication networks. The CAC problem is modeled as a multi-constrained Markov Decision Problem (MDP). To overcome the problems of the standard approaches to the solution of constrained MDP, a multiconstraint lexicographic approach is defined, and an on-line implementation based on Reinforcement Learning techniques is proposed. Simulations validate the proposed approach. © 2013 IEEE.
A lexicographic approach to constrained MDP admission control / Panfili, Martina; Pietrabissa, Antonio. - (2013), pp. 1428-1433. (Intervento presentato al convegno 2013 21st Mediterranean Conference on Control and Automation, MED 2013 tenutosi a Platanias-Chania, Crete nel 25 June 2013 through 28 June 2013) [10.1109/med.2013.6608908].
A lexicographic approach to constrained MDP admission control
PANFILI, MARTINA;PIETRABISSA, Antonio
2013
Abstract
This paper proposes a Reinforcement Learningbased lexicographic approach to the Call Admission Control (CAC) problem in communication networks. The CAC problem is modeled as a multi-constrained Markov Decision Problem (MDP). To overcome the problems of the standard approaches to the solution of constrained MDP, a multiconstraint lexicographic approach is defined, and an on-line implementation based on Reinforcement Learning techniques is proposed. Simulations validate the proposed approach. © 2013 IEEE.| File | Dimensione | Formato | |
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