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Dettaglio pubblicazione

2016, INTERNATIONAL JOURNAL OF CONTROL, Pages 235-247 (volume: 89)

A Lexicographic Approach to Constrained MDP Admission Control (01a Articolo in rivista)

Panfili Martina, Pietrabissa Antonio, Oddi G., Suraci V.

This paper proposes a reinforcement learning-based lexicographic approach to the call admission control problem in communication networks. The admission control problem is modelled as a multiconstrained Markov decision process. To overcome the problems of the standard approaches to the solution of constrained Markov decision processes, based on the linear programming formulation or on a Lagrangian approach, a multi-constraint lexicographic approach is defined, and an online implementation based on reinforcement learning techniques is proposed. Simulations validate the proposed approach.
Gruppo di ricerca: Networked Systems
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