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 …

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 …

In radio access networks traffic load varies greatly both spatially and temporally. However,
resource usage of Base Stations (BSs) does not solely depend on the traffic load; auxiliary …

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 …

optimizing power consumption of 5G systems and next generation technology deployments
is a critical problem. It is essential that the solution for optimizing power consumption takes …

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 …

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 …

Energy consumption due to ICT is a consistent ever-increasing trend. One of the main
culprits is the booming global dependence on cellular devices that obligate expansion of …

The flexibility introduced with the Open Radio Access Network (O-RAN) architecture allows
us to think beyond static configurations in all parts of the network. This paper addresses the …

Nowadays, energy efficiency has become a major issue in mobile networks operation. Due
to the exponential rise in the number of wireless Internet-connected mobile devices reducing …