Modelling the 5G Energy Consumption using Real-world
To address this, we propose a novel deep learning model for 5G base station energy consumption estimation based on a real-world dataset. Unlike existing methods, our approach integrates
However, the widespread deployment of 5G base stations has led to increased energy consumption. Individual 5G base stations require 3–4 times more power than fourth-generation mobile communication technology (4G) base stations, and their deployment density is 4–5 times that of 4G base stations [3, 4].
Setting up a 5G base station is expensive, with costs ranging from $100,000 to $200,000 per site. This price includes hardware, installation, site rental, and maintenance. Urban areas often have higher costs due to land prices and infrastructure challenges.
The base station's average energy consumption during a certain time period has been estimated. A range of optimization approaches, namely PSO, ABC, and GA, have been employed to obtain the best possible (optimal) cost for the system.
A substantial quantity of power is used by 5G BS. Radio transmitters and processors are a couple of base station components whose power consumption can be optimized with the use of PSO. PSO can assist in lowering the consumption of energy while preserving network performance by modifying parameters like transmission power and duty cycles.
PDF version includes complete article with source references. Suitable for printing and offline reading.
Download detailed specifications, case studies, and technical data sheets for our ESS containers and containerized PV systems.
15 Rue des Énergies Renouvelables
Paris 75015, France
+33 1 84 83 72 76
Monday - Friday: 8:30 AM - 6:30 PM CET