Energy Savings in 5G-Advanced Radio Access Networks: Downlink Signaling Adaptation

As energy consumption of cellular networks continues to rise, its impact on the environment and operating costs have become a pressing concern. With the goal of improving energy efficiency by reducing the energy consumption, Network Energy Savings (NES) is considered by 3GPP as one of the key enhancements of the 5G-Advanced and 6G standardization. This paper addresses a key time-domain NES technique being standardized by 3GPP, namely, adaptation of downlink common signals, providing a comprehensive evaluation based on system-level simulations. We propose a novel approach to dynamically adapt the periodicity of downlink common signals based on network demand. The results demonstrate great benefits of the dynamic adaptation of downlink common signals in terms of energy saving gains.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757515
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.42

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article

Energy Savings in 5G-Advanced Radio Access Networks: Downlink Signaling Adaptation

Gustavo Wagner Oliveira Da Costa, Norman Franchi, Geordie George, Elke Roth-Mandutz et al.
2 citations
Advanced MIMO Systems Optimization
0.42
article

Energy Savings in 5G-Advanced Radio Access Networks: Downlink Signaling Adaptation

Gustavo Wagner Oliveira Da Costa, Norman Franchi, Geordie George, Elke Roth-Mandutz, Nazanin Vatanian
article en
2 citations

Abstract

As energy consumption of cellular networks continues to rise, its impact on the environment and operating costs have become a pressing concern. With the goal of improving energy efficiency by reducing the energy consumption, Network Energy Savings (NES) is considered by 3GPP as one of the key enhancements of the 5G-Advanced and 6G standardization. This paper addresses a key time-domain NES technique being standardized by 3GPP, namely, adaptation of downlink common signals, providing a comprehensive evaluation based on system-level simulations. We propose a novel approach to dynamically adapt the periodicity of downlink common signals based on network demand. The results demonstrate great benefits of the dynamic adaptation of downlink common signals in terms of energy saving gains.

Fraunhofer Institute for Integrated Circuits (DE)
Ministry of Education
Affordable and clean energy
Openalex Percentile: Top 35%
Advanced MIMO Systems Optimization
0.42
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Energy Savings in 5G-Advanced Radio Access Networks: Downlink Signaling Adaptation — Gustavo Wagner Oliveira Da Costa, Norman Franchi, et al. · (2024) | TGRS Research Map | TGRS