Traffic-aware advanced sleep modes management in 5G networks - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Traffic-aware advanced sleep modes management in 5G networks

Résumé

Advanced Sleep Modes (ASMs) are defined as a progressive shutdown of the Base Station (BS) depending on the activation and the deactivation times of the different components. This transition duration defines different levels of sleep modes that can be implemented in future 5G networks. We propose in this paper a management strategy based on Q-learning approach which will enable to find the best combination and durations of ASM levels depending on the traffic load and the network operator’s policy regarding energy reduction versus latency. Our results show that even in delay-sensitive scenarios, high energy gains can be achieved in low and moderate traffic loads, respectively 55% and 10%, without inducing an extra latency. Starting from a certain traffic load (approximately 30%), ASM should not be implemented in case of stringent latency constraint.
Fichier principal
Vignette du fichier
WCNC2019.pdf (1.29 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02294109 , version 1 (23-09-2019)

Identifiants

Citer

Fatma Ezzahra Salem, Tijani Chahed, Zwi Altman, Azeddine Gati. Traffic-aware advanced sleep modes management in 5G networks. WCNC 2019: IEEE Wireless Communications and Networking Conference, Apr 2019, Marrakech, Morocco. pp.1-6, ⟨10.1109/WCNC.2019.8886051⟩. ⟨hal-02294109⟩
125 Consultations
529 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More