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
Multi-objective cooperative optimization of communication base station
To address the above problems, this paper proposes a multi-objective interval optimization scheduling method that utilizes the operational flexibility of 5G communication
5G and energy internet planning for power and communication
Our research addresses the critical intersection of communication and power systems in the era of advanced information technologies. We highlight the strategic
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
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
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.
Toward Green Network: An Expanding of Base Station Energy
Abstract: Green network aims to promote the sustainable development of communication systems, and base station (BS) and cells sleeping has been proven effective in reducing the
The Energy Saving Measurement System and Method of Main
There are two parts in the energy saving calculation system and method of the main base station communication equipment.
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
Multi-objective cooperative optimization of communication base
To address the above problems, this paper proposes a multi-objective interval optimization scheduling method that utilizes the operational flexibility of 5G communication
Communication Base Station Energy Storage Systems
Leading operators are adopting a three-phase approach: Take India''s Bharti Airtel, which reduced diesel consumption by 72% through intelligent energy storage systems – their 28,000+ sites
5G and energy internet planning for power and communication network
Our research addresses the critical intersection of communication and power systems in the era of advanced information technologies. We highlight the strategic
Distribution network restoration supply method considers 5G base
This work explores the factors that affect the energy storage reserve capacity of 5G base stations: communication volume of the base station, power consumption of the base
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