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 leveraged to mitigate 5G energy consumption.
This document contains Version 1.0 of the ITU-T Technical Report on “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” approved at the ITU-T Study Group 5 meeting held online, 20th May, 2021. 3.1.
It also analyses how enhanced technologies like deep sleep, symbol aggregation shutdown etc., have been developing in the 5G era. This report aims to detail these fundamentals. However, it is far away from being enough, a revolutionized energy saving solution should be taken into consideration.
the power consumption of AAU nearly linearly increases with the growth of BS load rate, while that of the BBU is quite stable at varying load rates. As the power consumption of 5G BSs is significantly higher than that of 4G BSs, we focus on the backup power allocation of 5G networks in this work.
Going forward, we will continue launching more efficient, intelligent, and greener energy storage products to help 5G base stations navigate power outages and ensure stable communications.
In the energy consumption structure, the power. consumption accounts for more than 80%. The electricity cost. energy consumption. Especially with the large-scal e. consumption of base
In this paper, we closely examine the power outage events and the backup battery status from a one-year dataset of a major cellular service provider, including 4206 base stations distributed
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 leveraged to
As 5G evolves to 6G, network management faces growing challenges with increasing base station density, leading to more frequent outages. To address this, we introduce a robust,
We have developed a comprehensive framework for UE RRC state-based energy modeling and power-saving schemes in the ns-3 network simulator. Our study evaluates 3GPP power-saving
Thus, in this paper, we propose a novel intelligent dynamic power control (DPC) with cell range expansion (CRE) to improve the downlink performance of both small-cell user equipments
As the power from the grid does not necessarily guarantee 100% uptime, the backup power provided by batteries is playing an important role. Due to lightning strikes, blown transformers,
Our approach features an innovative AI-based cell outage detection strategy, named Impv-XGBoost, which excels in high-shadowing conditions and with sparse training data, outperforming traditional
In the evolving landscape of 5G and forthcoming 6G networks, managing outages becomes increasingly complex due to higher Base Station (BS) densities and the con
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