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Base station power management control strategy
This model encompasses numerous energy-consuming 5G base stations (gNBs) and their backup energy storage systems (BESSs) in a virtual power plant to provide power support and obtain economic incentives, and develop virtual power plant management functions within the 5G core network to minimize control costs.
FAQs about Base station power management control strategy
How to reduce power-intensive base stations?
To address the issue of power-intensive base stations, proposed a combined approach involving base station sleep and spectrum allocation. This approach aims to discover the most efficient operating state and spectrum allocation for SBS to minimize power consumption and network disturbance.
What is a base station energy storage system?
A single base station energy storage system is configured with a set of 48 V/400 A-h energy storage batteries. The initial charge state of the batteries is assumed to obey a normal distribution, assuming that the base station has a uniform specification and its parameters are shown in Table 2. Table 2. Parameters of the energy storage system.
What is the power consumption of a base station?
The power consumption of each base station is considered about the number of mobile subscribers and random mobility to minimize the energy-saving cost of the cellular network.
Why do communication base stations use battery energy storage?
Meanwhile, communication base stations often configure battery energy storage as a backup power source to maintain the normal operation of communication equipment [3, 4]. Given the rapid proliferation of 5G base stations in recent years, the significance of communication energy storage has grown exponentially [5, 6].
What is the dormancy control strategy of a base station?
The dormancy control strategy of the base station is mainly a question of considering the efficiency of signal transmission within the slice area, and radiating the most effective signals with the smallest total cost.
How do low-load base stations reduce energy consumption?
This strategy flexibly adjusts the user connections of low-load base stations to put inefficient base stations into sleep mode, thereby improving base station utilization and reducing the overall system energy consumption [20, 21].
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