Threshold-based 5G NR base station management for energy saving

In spite of promising outcomes in optimizing energy usage for Radio Access Network (RAN) Base Station (BS) hardware, deployment, and resource management, existing methods frequently lack flexibility for scenarios involving multiple frequencies and technologies of BSs. This investigation presents a comprehensive BS switching strategy based on a threshold, tailored for real-world multi-frequency and multi-technology BSs within the RAN. The proposed approach strategically deactivates BSs using a threshold parameter that determines the maximum allowable growth in transmission power for active BSs, ensuring both coverage for users affected by BS deactivation and energy saving. Simulations conducted on a realistic multi-technology 5G New Radio (NR) RAN in an urban environment validate the efficacy of the proposed strategy, achieving up to 73% of energy saving. The study assesses the influence of the frequency order of BS deactivation and examines user re-association strategies aimed at minimizing either path loss or transmission power.

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Publication Details

Journal
Computer Networks
Published
2025-01-29
DOI
https://doi.org/10.1016/j.comnet.2025.111070
Citations
5
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
3.65

Funders

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article

Threshold-based 5G NR base station management for energy saving

Wout Joseph, Margot Deruyck, Greta Vallero, Michela Meo
5 citations
Computer Networks
Advanced MIMO Systems Optimization
3.65
article

Threshold-based 5G NR base station management for energy saving

Wout Joseph, Margot Deruyck, Greta Vallero, Michela Meo
article en
5 citations

Abstract

In spite of promising outcomes in optimizing energy usage for Radio Access Network (RAN) Base Station (BS) hardware, deployment, and resource management, existing methods frequently lack flexibility for scenarios involving multiple frequencies and technologies of BSs. This investigation presents a comprehensive BS switching strategy based on a threshold, tailored for real-world multi-frequency and multi-technology BSs within the RAN. The proposed approach strategically deactivates BSs using a threshold parameter that determines the maximum allowable growth in transmission power for active BSs, ensuring both coverage for users affected by BS deactivation and energy saving. Simulations conducted on a realistic multi-technology 5G New Radio (NR) RAN in an urban environment validate the efficacy of the proposed strategy, achieving up to 73% of energy saving. The study assesses the influence of the frequency order of BS deactivation and examines user re-association strategies aimed at minimizing either path loss or transmission power.

Computer NetworksVol. 259
Politecnico di Torino (IT), Ghent University (BE)
European Commission
Affordable and clean energy
Openalex Percentile: Top 8%
Advanced MIMO Systems Optimization
3.65
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