A novel energy model for renewable energy-enabled cellular networks providing ancillary services to the smart grid

HAH Hassan, D Renga, M Meo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we consider cellular networks powered by the smart grid (SG) and by local
renewable energy (RE) sources. While this configuration promises energy savings, usage of …

Greener RAN operation through machine learning

G Vallero, D Renga, M Meo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The use of base station (BS) sleep modes is one of the most studied approaches for the
reduction of the energy consumption of radio access networks (RANs). Many papers have …

Base Station switching and edge caching optimisation in high energy-efficiency wireless access network

G Vallero, M Deruyck, M Meo, W Joseph - Computer Networks, 2021 - Elsevier
The improvement of the energy efficiency and the reduction of the latency are two of the
main goals of the next generation of Radio Access Networks (RANs). In order to achieve the …

Emission-aware sustainable energy provision for 5g and b5g mobile networks

A Israr, Q Yang, A Israr - IEEE Transactions on Sustainable …, 2023 - ieeexplore.ieee.org
A massive number of small cell base stations are expected to be deployed in the 5G and
beyond 5G mobile communication networks due to the exponential increase in mobile traffic …

Renewable energy provision and energy-efficient operational management for sustainable 5G infrastructures

A Israr, Q Yang, A Israr - IEEE Transactions on Network and …, 2023 - ieeexplore.ieee.org
The energy consumption of mobile network infrastructures has been witnessed to rise
significantly in recent years due to the massive growth of mobile traffic triggered by the …

Reinforcement Learning for charging scheduling in a renewable powered Battery Swapping Station

D Renga, F Spoturno, M Meo - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Battery Swap (BS) technology represents a promising solution to overcome the main
obstacles to a widespread adoption of electric vehicles (EVs) in a urban environment, like …

RAN energy efficiency and failure rate through ANN traffic predictions processing

G Vallero, D Renga, M Meo, MA Marsan - Computer Communications, 2022 - Elsevier
In this paper, we focus on the application of ML tools to resource management in a portion of
a Radio Access Network (RAN) and, in particular, to Base Station (BS) activation and …

Processing ANN traffic predictions for RAN energy efficiency

G Vallero, D Renga, M Meo… - Proceedings of the 23rd …, 2020 - dl.acm.org
The field of networking, like many others, is experiencing a peak of interest in the use of
Machine Learning (ML) algorithms. In this paper, we focus on the application of ML tools to …

From self-sustainable green mobile networks to enhanced interaction with the smart grid

D Renga, M Meo - 2018 30th International Teletraffic Congress …, 2018 - ieeexplore.ieee.org
Due to the staggering increase of mobile traffic, Mobile Network Operators (MNOs) are
facing considerable operational cost due to power supply. Renewable Energy (RE) sources …

Household users cooperation to reduce cost in green mobile networks

M Meo, D Renga, MT Sarti - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The staggering mobile traffic growth is leading to a huge increase of operational costs for
Mobile Operators (MOs) due to power supply. In a Smart Grid (SG) scenario, where Demand …