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 …

Joint traffic prediction and base station sleeping for energy saving in cellular networks

Y Zhu, S Wang - ICC 2021-IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Densely deployed base station (BS) network is one of the important technologies for 5G and
beyond mobile communication system, which improves the system throughput by deploying …

Neural networks for cellular base station switching

I Donevski, G Vallero, MA Marsan - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
The adoption of base station sleep modes is considered one of the most effective
approaches for the reduction of the energy consumption of radio access networks. Sleep …

Green horizon: Looking at backbone networks in 2020 from the perspective of network operators

F Idzikowski, L Chiaraviglio, R Duque… - 2013 IEEE …, 2013 - ieeexplore.ieee.org
The problem of reducing power consumption in backbone networks by adopting sleep
modes has been extensively studied in the literature. In contrast to previous work, we …

Sleep mode management in cellular networks: a traffic based technique enabling energy saving

S Morosi, P Piunti, ED Re - Transactions on Emerging …, 2013 - Wiley Online Library
Because of the environmental policies that pursue a significant reduction of global
greenhouse gas and to the ambition of the network operators to keep under control …

Energy saving through a learning framework in greener cellular radio access networks

R Li, Z Zhao, X Chen, H Zhang - 2012 IEEE Global …, 2012 - ieeexplore.ieee.org
Recent works have validated the possibility of energy efficiency improvement in radio
access networks (RAN), depending on dynamically turn on/off some base stations (BSs). In …

Improving cellular network energy efficiency by joint management of sleep mode and transmission power

S Morosi, P Piunti, E Del Re - 2013 24th Tyrrhenian …, 2013 - ieeexplore.ieee.org
Energy efficiency is one of the main challenges to be faced by mobile communications in the
near future. The growth of the mobile communications market which is boosted by the …

Traffic prediction based power saving in cellular networks: A machine learning method

S Zhang, S Zhao, M Yuan, J Zeng, J Yao… - Proceedings of the 25th …, 2017 - dl.acm.org
In smart cities, green cellular networks play a crucial role to support wireless access for
numerous devices anywhere and anytime with efficiency and sustainability. Because base …

Green networking with packet processing engines: Modeling and optimization

R Bolla, R Bruschi, A Carrega… - IEEE/ACM Transactions …, 2013 - ieeexplore.ieee.org
With the aim of controlling power consumption in metro/transport and core networks, we
consider energy-aware devices able to reduce their energy requirements by adapting their …

Traffic-aware cloud RAN: A key for green 5G networks

N Saxena, A Roy, HS Kim - IEEE Journal on Selected Areas in …, 2016 - ieeexplore.ieee.org
Next generation 5G wireless networks envision innovative radio technologies for ultra dense
deployment with improved coverage and higher data rates. However, the deployment of …