2020
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| 2. | Giuseppi, Alessandro; Santis, Emanuele De; Priscoli, Francesco Delli; Won, Seok Ho; Choi, Taesang; Pietrabissa, Antonio Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning Inproceedings 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 1-5, 2020. Abstract | Links | BibTeX | Tags: 5G, Markov Games, Multi-Agent Reinforcement Learning, Network Selection @inproceedings{Giuseppi2020b,
title = {Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning},
author = {Alessandro Giuseppi and Emanuele De Santis and Francesco Delli Priscoli and Seok Ho Won and Taesang Choi and Antonio Pietrabissa},
doi = {10.1109/WCNCW48565.2020.9124723},
year = {2020},
date = {2020-04-01},
booktitle = {2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)},
pages = {1-5},
abstract = {This paper presents a control solution for the optimal network selection problem in 5G heterogeneous networks. The control logic proposed is based on multi-agent Friend-or-Foe Q-Learning, allowing the design of a distributed control architecture that sees the various access points compete for the allocation of the connection requests. Numerical simulations validate conceptually the approach, developed in the scope of the EU-Korea project 5G-ALLSTAR},
keywords = {5G, Markov Games, Multi-Agent Reinforcement Learning, Network Selection},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper presents a control solution for the optimal network selection problem in 5G heterogeneous networks. The control logic proposed is based on multi-agent Friend-or-Foe Q-Learning, allowing the design of a distributed control architecture that sees the various access points compete for the allocation of the connection requests. Numerical simulations validate conceptually the approach, developed in the scope of the EU-Korea project 5G-ALLSTAR |
| 1. | Giuseppi, Alessandro; Pietrabissa, Antonio; Liberati, Francesco; Germanà, Roberto; Priscoli, Francesco Delli Traffic steering and network selection in 5G networks based on Reinforcement Learning Inproceedings Forthcoming European Control Conference 2020, Forthcoming. BibTeX | Tags: 5G, Network Selection, reinforcement learning, traffic steering @inproceedings{Giuseppi2020c,
title = {Traffic steering and network selection in 5G networks based on Reinforcement Learning},
author = {Alessandro Giuseppi and Antonio Pietrabissa and Francesco Liberati and Roberto German\`{a} and Francesco Delli Priscoli},
year = {2020},
date = {2020-01-01},
booktitle = {European Control Conference 2020},
keywords = {5G, Network Selection, reinforcement learning, traffic steering},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
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