A Distributed Q-Learning Approach for Adaptive Sleep Modes in 5G Networks

Ali El Amine (1, 2) , Mauricio Iturralde (3) , Hussein Al Haj Hassan (4) , Loutfi Nuaymi (1, 2)

1 IMT Atlantique - SRCD - Département Systèmes Réseaux, Cybersécurité et Droit du numérique
2 ADOPNET - Advanced technologies for operated networks
3 IMT Atlantique - IMT Atlantique
4 LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]

Mots clés: Energy consumption; 5G; sleep modes; Q-learning

Domaines: Apprentissage [cs.LG]; Intelligence artificielle [cs.AI]; Energie électrique; Traitement du signal et de l'image [eess.SP]

Ali El Amine, Mauricio Iturralde, Hussein Al Haj Hassan, Loutfi Nuaymi. A Distributed Q-Learning Approach for Adaptive Sleep Modes in 5G Networks. WCNC 2019 : IEEE Wireless Communications and Networking Conference, Apr 2019, Marrakech, Morocco. ⟨10.1109/WCNC.2019.8885818⟩. ⟨hal-01988226⟩