Base Station Energy Saving based on Imitation Learning in 5G
To reduce power consumption, energy saving technologies for BSs have emerged, which are in line with the concept of green communications and can save operators'' costs. In
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To reduce power consumption, energy saving technologies for BSs have emerged, which are in line with the concept of green communications and can save operators'' costs. In
BSs are one of the most power consuming elements of a 5G network. It is important to model their energy consumption for analyzing overall energy efficiency of a
Renewable energy sources such as solar and wind play a significant role in powering energy-efficient 5G base stations. Integration of smart technologies like AI and IoT can
Energy efficiency assumes it is of paramount importance for both User Equipment (UE) to achieve battery prologue and base stations to achieve savings in power and operation
massive MIMO (Multi ple Input Multiple Output) technology. achieve energy-saving effect.
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
Smart Energy Saving of 5G Base Station: Based on AI and other emerging technologies to forecast and optimize the management of 5G wireless network energy consumption
In response to the energy-saving needs of 5G base stations, this article combines IoT technology, artificial intelligence technology, and thermal design technology to conduct research on energy
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
In this paper, a framework is developed to study the impact of different power model assumptions on energy saving in a 5G separation architecture comprising high power
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