Energy and Resource Allocations for Battery Aging-Aware Green Cellular Networks

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

1 IMT Atlantique - SRCD - Département Systèmes Réseaux, Cybersécurité et Droit du numérique
2 ADOPNET - Advanced technologies for operated networks
3 AUST - American University of Science and Technology

In this paper, we study the grid energy consumption of a hybrid energy powered base station system equipped with a renewable source and a battery. We focus on the energy storage element that is prone to irreversible aging mechanisms, thus requiring precise management that takes into account both energy cost and constraints preventing fast battery degradation. We propose a Battery Aging and Price-Aware (BAPA) algorithm that brings down the grid energy consumption of the operator while including battery degradation constraints. We decompose the problem into three subproblems: Resource allocation problem, grid energy purchase problem and power allocation problem. We show that our algorithm performs very close to optimality (up to 99%) and outperforms a benchmark algorithm.

Mots clés: renewable energy; Green cellular networks; battery; convex optimization; resource allocation

Domaines: Traitement du signal et de l'image [eess.SP]; Energie électrique

Ali El Amine, Hussein Al Haj Hassan, Loutfi Nuaymi. Energy and Resource Allocations for Battery Aging-Aware Green Cellular Networks. 2018 IEEE Global Communications Conference: Green Communications Systems and Networks (Globecom2018 GCSN), Dec 2018, Abu Dhabi, United Arab Emirates. ⟨10.1109/GLOCOM.2018.8647197⟩. ⟨hal-01988211⟩