1. Introduction 5G base station (BS), as an important electrical load, has been growing rapidly in the number and density to cope with the exponential growth of mobile data traffic . It is predicted that by 2025, there will be about 13.1 million BSs in the world, and the BS energy consumption will reach 200 billion kWh .
The explosive growth of mobile data traffic has resulted in a significant increase in the energy consumption of 5G base stations (BSs).
Therefore, the problem can be formulated as a minimal 5G BS energy consumption optimization model, i.e., the energy consumption reduced by reasonably switching off the idle or lightly loaded BSs and reasonably associate UEs with BSs (i.e., the BS switching state and BS-UE association state scheme).
To improve the energy eficiency of 5G networks, it is imperative to develop sophisticated models that accurately reflect the influence of base station (BS) attributes and operational conditions on energy usage.
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Importantly, this study item indicates that new 5G power consumption models are needed to accurately develop and optimize new energy saving solutions, while also …
With the rapid development of 5G mobile internet, the large-scale deployment of 5G base stations has led to a significant increase in energy consumption. Traditional deep …
This project aims to predict energy consumption in 5G base stations using Supervised Learning Regression techniques. The goal is to model and estimate the energy consumed by different …
Accurate energy consumption modeling is essential for developing energy-efficient strategies, enabling operators to optimize resource uti-lization while maintaining network …
The literature [2] addresses the capacity planning problem of 5G base station energy storage system, considers the energy sharing among base station microgrids, and determines the …
An energy consumption optimization strategy of 5G base stations (BSs) considering variable threshold sleep mechanism (ECOS-BS) is proposed, which includes the initial …
Energy saving technology and solution of 5G base station based on AI Artificial intelligence (AI) technology has been widely used in computer vision, information retrieval, …
As global 5G deployments accelerate, communication base station cost optimization has become the linchpin of telecom profitability. With operators spending $180 billion annually on network …
During the intraday stage, based on day-ahead predicted data of renewable energy output and load and errors, the model adjusts the backup energy storage of the 5G …
This paper proposes a price-guided orientable inner approximation (OIA) method to solve the frequency-constrained unit commitment (FC-UC) with massive 5G base station …
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