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. To meet the increasing demand of high-data-rate for wireless
Energy Consumption Optimization Technique for Micro Base
Abstract. In order to solve high energy consumption caused by massive micro base stations deployed in multi-cells, a joint beamforming and power allocation optimization algorithm is
Energy-saving control strategy for ultra-dense network base
Using this technique, the energy consumption of a base station can be reduced by turning off energy-intensive devices inside the base station, or by turning off the entire base
Power Consumption Modeling of 5G Multi-Carrier Base
We demonstrate that this model achieves good estimation performance, and it is able to capture the benefits of energy saving when dealing with the complexity of multi-carrier base stations
Optimal Control of the Green Low-Carbon Base
This paper establishes an energy router system for green and low-carbon base stations, a −48 V DC bus multi-source parallel system
Energy-saving control strategy for ultra-dense network base stations
Using this technique, the energy consumption of a base station can be reduced by turning off energy-intensive devices inside the base station, or by turning off the entire base
Optimization of Mobile Base Station Placement to Reduce Energy
Finally, the optimal placement of the base station is specified by the combination of the Genetic Algorithm and the Floyd Warshall. The DGAFW algorithm is based on minimizing
Optimization of Mobile Base Station Placement to
Finally, the optimal placement of the base station is specified by the combination of the Genetic Algorithm and the Floyd Warshall. The
Renewable microgeneration cooperation with base station
A joint load control based on energy sharing and dynamic on/off switching of a small base station is investigated in to reduce the grid power and efficiently utilize the renewable
Optimal Control of the Green Low-Carbon Base Station System
This paper establishes an energy router system for green and low-carbon base stations, a −48 V DC bus multi-source parallel system including photovoltaic, wind turbine, grid
Optimizing Energy Use in mmWave Base Stations
An effective strategy to reduce this energy consumption in mobile networks is the sleep mode optimization (SMO) of base stations (BSs). In this paper, we propose a novel
Proactive Energy Saving Technique for Cellular Base Station
imize energy consumption in cellular network base stations. In this context we organize this paper in three parts: first provide a review of recent pre. iction techniques, dataset used, and
Energy-efficiency schemes for base stations in 5G heterogeneous
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for