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Study and analysis of runtime energy consumption in cellular 5G network: an empirical approach

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Abstract

This article presents an experimentation environment, empirical study and results of runtime energy consumption in 5th generation (5G) networks and discusses the potential solutions to enhance energy efficiency with radio access network (RAN) and application control. Further, the paper evaluates the actual power consumption of selected end user devices and applications in 5G RAN covering indoor small-cell installations and 5G outdoor macro sites. The evaluation setup utilized a state-of-the-art 5G radio access network (RAN) alongside efficient, accurate energy measurement equipment, measuring power consumption in live scenarios with selected video streams at varying bit rates to reflect advanced video streaming configurations. The outcome of the research shows that several enhancements, such as lower total energy consumption and longer end device battery life, are possible when advanced control is applied to the existing and future wireless mobile networks. The experimental results provide solid power consumption figures and lead to detailed reasons for the holistic view of energy enhancements covering the overall end-to-end data path including the end user devices, RAN as well as edge and cloud infrastructure and applications—addressing these aspects at a scale not covered in earlier studies. The increasing demand for high-quality digital services, particularly video streaming, presents significant challenges for reducing energy consumption in mobile networks; as these networks and services continue to grow, this study contributes to ongoing efforts to minimize their runtime energy consumption.
Original languageEnglish
JournalJournal on Wireless Communications and Networking
DOIs
Publication statusAccepted/In press - 2026
MoE publication typeA1 Journal article-refereed

Funding

This work was supported by Business Finland EWARE-6G project under 6G Bridge programme, and in part by the 6G-XR and AMAZING-6G projects, which have received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreements No 101096838 and No 101192035.

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