5G base station intelligent power saving system

An Intelligent Energy Saving Strategy Recommendation Method of 5G Base

In order to find a better model of energy saving for 5G base stations to reduce energy consumption, this paper proposes an intelligent energy saving strategy re

Application of AI technology 5G base station

When the symbol shut down function is turned on, when there is no user data transmission in the downlink symbol, the base station equipment can achieve the purpose of energy saving by

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

Evaluation of the power-saving effect of 5G base station based

In the Internet of things (IoT), the energy-saving of battery-powered IoT terminal is a key problem. To address it, a novel transceiver is proposed, and a transmission scheme is

Intelligent Energy Saving Solution of 5G Base Station Based on

This article identifies energy-saving potential of the fifth generation (5G) Radio Access Network, and describes main energy-saving principles and technologies.

Intelligent Energy Saving Solution of 5G Base Station Based on

This paper introduces the basic energy-saving technology of 5G base station, and puts forward the intelligent energy-saving solutions based on artificial intell

Final draft of deliverable D.WG3-02-Smart Energy Saving of

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

Research on Energy-Saving Technology for Unmanned 5G

In response to the current widespread issue of high energy consumption in 5G base stations, this article conducts overall design, hardware design, and software design of the base station

Prediction of Base Station Energy Saving Strategy

Through the dynamic prediction and implementation of suitable energy-saving strategies using real-time 5G base station data, it enables intelligent identification of energy

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

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