Energy-saving control strategy for ultra-dense network base stations
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
These tools simplify the task of selecting the right power management solutions for these devices and, thereby, provide an optimal power solution for 5G base stations components.
The analysis results demonstrate that the proposed model can effectively reduce the power consumption of base stations while mitigating the fluctuation of the power grid load.
Power control in 5G is essential for optimizing network capacity, extending battery life, and ensuring robust connectivity. In this article, we will explore various power control
These tools simplify the task of selecting the right power management solutions for these devices and, thereby, provide an optimal power solution for 5G base stations components.
Therefore, this paper proposes a two-stage robust optimization (TSRO) model for 5G base stations, considering the scheduling potential of backup energy storage. At the day
When the electromagnetic field (EMF) compliance boundary of a radio base station (RBS) is determined based on the actual maximum EMF exposure condition accordin
To enhance system efficiency and establish green wireless communication systems, this paper investigates base station sleeping and power allocation strategy based on
To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution
Directional Power Control of 5G Radio Base Stations for EMF Compliance – Part I: Design Principles and Feature Validation tech./dosim.
Directional Power Control of 5G Radio Base Stations for EMF Compliance – Part I: Design Principles and Feature Validation tech./dosim.
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
The analysis results demonstrate that the proposed model can effectively reduce the power consumption of base stations while
Presenting a new directional EMF power-lock feature for monitoring & control of 5G massive MIMO RBS exposure rates to keep it below the specified levels.
To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution network (DN) voltage control, enabling BSES
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