@CONFERENCE{Priscoli2020595,
author={Priscoli, F.D. and Giuseppi, A. and Liberati, F. and Pietrabissa, A.},
title={Traffic Steering and Network Selection in 5G Networks based on Reinforcement Learning},
journal={European Control Conference 2020, ECC 2020},
year={2020},
pages={595-601},
art_number={9143837},
abstract={This paper presents a controller for the problem of Network Selection in 5G Networks, based on Reinforcement Learning. The problem of Network Selection and Traffic Steering is modeled as a Markov Decision Process and a Q- Learning based control solution is designed to meet 5G requirements, such as Quality of Experience (QoE) maximization, Quality of Service (QoS) assurance and load balancing. Numerical simulations preliminarily validate the proposed approach on a simulated scenario considered in the European project H2020 5G-ALLSTAR. © 2020 EUCA.},
keywords={Markov processes;  Quality control;  Quality of service;  Queueing networks;  Reinforcement learning, Control solutions;  European project;  G-networks;  Markov Decision Processes;  Network selection;  Q-learning;  Quality of experience (QoE), 5G mobile communication systems},
document_type={Conference Paper},
}

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