In this paper we study static and dynamic approaches to energy efficiency in dense cellular
networks, where interference is one of the main limiting factors. We consider the two main …

We consider the problem of minimizing the energy consumed in a cellular access network,
under loads that slowly vary over space and time, while guaranteeing quality of service …

The traffic load of cellular networks varies in both time and spatial domains, causing many
base stations (BS) to be under-utilized. Assisted by cell zooming, dynamic BS sleep control …

We study base stations energy-efficient management algorithms in a cellular access network
taking into account different planning strategies. To provide energy savings, sleep modes …

In the context of ever-increasing wireless data rates, energy consumption could increase
fast, with severe consequences on the operator's energy bill, in addition to environmental …

The energy consumption of information and communication technology (ICT) industry has
become a serious problem, which mostly comes from the network infrastructure, rather than …

Network densification is a key enabler for providing high data rates and ubiquitous
coverage. Although it enables the ambitious target of 1,000-fold gains in capacity, installing …

In current wireless networks, interference is the main performance-limiting factor. The quality
of a wireless link depends on the signal and interference power, which is strongly related to …

Dense cellular networks (DenseNets) are fast becoming a reality with the large scale
deployment of base stations aimed at meeting the explosive data traffic demand. In legacy …

With the ever-increasing demand for data traffic, high dense cellular networks are gaining
extensive attention. But at the same time dense deployment of small cells results in high …