This paper defines a reinforcement learning (RL) approach to call control algorithms in links with variable capacity supporting multiple classes of service. The novelties of the document are the following: i) the problem is modeled as a constrained Markov decision process (MDP); ii) the constrained MDP is solved via a RL algorithm by using the Lagrangian approach and state aggregation. The proposed approach is capable of controlling classlevel quality of service in terms of both blocking and dropping probabilities. Numerical simulations show the effectiveness of the approach. © 2011 EUCA.

A reinforcement learning approach to call admission and call dropping control in links with variable capacity / Pietrabissa, Antonio. - In: EUROPEAN JOURNAL OF CONTROL. - ISSN 0947-3580. - STAMPA. - 17:1(2011), pp. 89-103. [10.3166/ejc.17.89-103]

A reinforcement learning approach to call admission and call dropping control in links with variable capacity

PIETRABISSA, Antonio
2011

Abstract

This paper defines a reinforcement learning (RL) approach to call control algorithms in links with variable capacity supporting multiple classes of service. The novelties of the document are the following: i) the problem is modeled as a constrained Markov decision process (MDP); ii) the constrained MDP is solved via a RL algorithm by using the Lagrangian approach and state aggregation. The proposed approach is capable of controlling classlevel quality of service in terms of both blocking and dropping probabilities. Numerical simulations show the effectiveness of the approach. © 2011 EUCA.
call control; communication networks; markov decision processes (mdp); reinforcement learning (rl)
01 Pubblicazione su rivista::01a Articolo in rivista
A reinforcement learning approach to call admission and call dropping control in links with variable capacity / Pietrabissa, Antonio. - In: EUROPEAN JOURNAL OF CONTROL. - ISSN 0947-3580. - STAMPA. - 17:1(2011), pp. 89-103. [10.3166/ejc.17.89-103]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/134889
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