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2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies

DOI: 10.1109/ngmast.2008.19

2009 Eighth International Conference on Networks

DOI: 10.1109/icn.2009.39

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A Model Based RL Admission Control Algorithm for Next Generation Networks

Proceedings article published in 2008 by Silvano Mignanti, Alessandro Di Giorgio ORCID, Vincenzo Suraci ORCID
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This paper was not found in any repository, but could be made available legally by the author.

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Abstract

In this paper we study the call admission control problem to optimize the network operators' revenue guaranteeing the quality of service to the end users. We consider a network scenario where each class of service is characterized by a different constant bit rate and an associated revenue. We formulate the problem as a Semi-Markov Decision Process, and we use a model based Reinforcement Learning approach. Other traditional algorithms require an explicit knowledge of the state transition models while our solution learns it on-line. We will show how our policy provides better solution than a classic greedy algorithm.