Base Stations (BSs) sleeping strategy is an efficient way to obtain the energy efficiency of cellular networks. To meet the increasing demand of high-data-rate for wireless applications, small
Operators can optimize the energy consumption of base stations in 4G networks through various technical strategies and technologies. These optimizations aim to reduce power usage
Eleven base stations with three sectored directional antennas are intended to be distributed randomly in the investigated area. All base stations are assumed to possess the same
For the energy-saving effect of communication base stations, scholars have carried out in-depth research work and achieved good results.
Accurate Base Station Placement in 4G LTE Networks Using Eleven base stations with three sectored directional antennas are intended to be distributed randomly in the investigated area.
The proposed automatic eNodeB antenna placement method can be explored to optimize 4G LTE cellular network planning in related wireless propagation environments.
We use on-site up-to-date measurements to determine power models of 4G BSs, showing a linear relationship between power consumption and data traffic with a static traffic
The aim of this paper is to develop an energy consumption model for second-generation (2G), third- generation (3G), and fourth-generation (4G) base stations (BSs). In a real network, we investigated
Analysis of energy efficiency of small cell base station in 4G/5G Base Stations (BSs) sleeping strategy is an efficient way to obtain the energy efficiency of cellular networks.
In this article, a holistic approach for energy efficient mobile radio networks is presented and the matter of having appropriate metrics and evaluation methods that allow assessing the energy efficiency of
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