Energy-saving control strategy for ultra-dense network base
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
Trade-Off Between Renewable Energy Utilizing and
In this paper, we design an electric-cellular collaborative network (ECCN) and formulate a joint optimization problem to minimize electric supply and QoS degradation costs, subjecting to
Multi-objective cooperative optimization of communication base
To achieve “carbon peaking” and “carbon neutralization”, access to large-scale 5G communication base stations brings new challenges to the optimal operation of new power
The Energy Saving Measurement System and Method of Main
The Definition of Energy Saving MeasurementIntroduction to The Model Usage AlgorithmThe Overview of GBRT AlgorithmNew Energy Saving FormulaThere are two parts in the energy saving calculation system and method of the main base station communication equipment. The first step is to select the appropriate modeling indexes to reduce index dimension based on the above algorithm from more than 100 indicators of network management through the chi-square test, Pearson correlation analysis andSee more on link.springer.com
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
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 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
Trade-Off Between Renewable Energy Utilizing and Communication
In this paper, we design an electric-cellular collaborative network (ECCN) and formulate a joint optimization problem to minimize electric supply and QoS degradation costs, subjecting to
Multi-objective cooperative optimization of communication base station
To achieve “carbon peaking” and “carbon neutralization”, access to large-scale 5G communication base stations brings new challenges to the optimal operation of new power
The Energy Saving Measurement System and Method of Main Base Station
There are two parts in the energy saving calculation system and method of the main base station communication equipment.
4G communication base station energy method
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.
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
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

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