Machine Learning and Analytical Power Consumption
A. Dataset days from the carrier frequency, bandwidth and transmit power, the DL PR load, and the amount of time for which each energy saving mode is activated. See Fig. 2 for a detailed
Final draft of deliverable D.WG3-02-Smart Energy Saving of
This technical report explores how network energy saving technologies that have emerged since the 4G era, such as carrier shutdown, channel shutdown, symbol shutdown etc., can be
Energy Saving of 5G Base Stations Based on Symbol Shutdown
The rapid development of 5G technology leads to increasing energy consumption in base stations (BSs). For the vision of green and sustainable communications, we
Two-Time Scale Energy-Saving Scheme with Base Station
This paper investigates the energy-saving problem in a multi-base stations (BSs) scenario, incorporating BS deep sleep on a large time scale and symbol shutdown and power
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
Three dimensions of shutdown capabilities.
It explores how to use network energy saving technologies, such as carrier shutdown, channel shutdown, and symbol shutdown in 5G network, that have been inherited from 4G.
CN113055903A
The present disclosure relates to the field of mobile communications, and in particular, to a method, apparatus, and medium for power saving shutdown of a base station.
Coordinated scheduling of 5G base station energy
With the rapid development of 5G base station construction, significant energy storage is installed to ensure stable communication.
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
Coordinated scheduling of 5G base station energy storage for
With the rapid development of 5G base station construction, significant energy storage is installed to ensure stable communication. However, these storage resources often
Evaluation Method Based on Temporal Clustering for 5G Base Station
First, we extract the time series data of the shutoff duration of the three shutdown types as list from the dataset, and then convert the unit of shutdown duration from seconds to
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
Evaluation Method Based on Temporal Clustering for 5G Base
First, we extract the time series data of the shutoff duration of the three shutdown types as list from the dataset, and then convert the unit of shutdown duration from seconds to