Optimal energy-saving operation strategy of 5G base station with
To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates communication caching
Optimization Control Strategy for Base Stations Based on
Therefore, in response to the impact of communication load rate on the load of 5G base stations, this paper proposes a base station energy storage auxiliary power grid peak shaving method
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
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Various approaches have been proposed to reduce the energy consumption of an RBS, for instance, passive cooling techniques, energy-efficient backhaul solutions, and distributed base
Method and System for Optimizing Power Consumption in LTE
The novel method helps the SON Energy Saving function to optimize energy consumption [reduction of energy consumption] by enabling scaling of channel bandwidth of
Energy-saving control strategy for ultra-dense network base
To reduce the extra power consumption due to frequent sleep mode switching of base stations, a sleep mode switching decision algorithm is proposed. The algorithm reduces
Energy-Efficient Base Station Deployment in Heterogeneous
In this paper we formalize the deployment of micro BSs in the coverage area of macro BSs as a mixed integer nonlinear programming problem, and then propose, based on Kuhn-Munkres
Base Station Energy-Saving Strategies for Green Wireless
We develop the multi-step Q-learning of the RL algorithm to optimize base station sleeping strategies. Simulation results are provided to show the process and effectiveness of the
Energy-Saving techniques in cellular wireless base stations
Various approaches have been proposed to reduce the energy consumption of an RBS, for instance, passive cooling techniques, energy-efficient backhaul solutions, and distributed base
Understanding Energy Efficiency in Communication Networks:
We illustrate their use and limitations through the micro view of an idealized 6G base station (BS). Additionally, we also consider the application of EE metrics to evaluate the
Optimal energy-saving operation strategy of 5G base station with
To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates communication caching
Optimization Control Strategy for Base Stations Based on Communication
Therefore, in response to the impact of communication load rate on the load of 5G base stations, this paper proposes a base station energy storage auxiliary power grid peak shaving method
Method and System for Optimizing Power Consumption in LTE Radio Base
The novel method helps the SON Energy Saving function to optimize energy consumption [reduction of energy consumption] by enabling scaling of channel bandwidth of
Energy-saving control strategy for ultra-dense network base stations
To reduce the extra power consumption due to frequent sleep mode switching of base stations, a sleep mode switching decision algorithm is proposed. The algorithm reduces
Energy-Efficient Base Station Deployment in Heterogeneous Communication
In this paper we formalize the deployment of micro BSs in the coverage area of macro BSs as a mixed integer nonlinear programming problem, and then propose, based on Kuhn-Munkres
Understanding Energy Efficiency in Communication Networks:
We illustrate their use and limitations through the micro view of an idealized 6G base station (BS). Additionally, we also consider the application of EE metrics to evaluate the