Sustainable Connections: Exploring Energy Efficiency in 5G
We develop high-accuracy models to profile 4G and 5G base station energy consumption, revealing 5G inefficiencies under low traffic loads. We identify energy efficiency
We develop high-accuracy models to profile 4G and 5G base station energy consumption, revealing 5G inefficiencies under low traffic loads. We identify energy efficiency
This technical report explores how network energy saving technologies that have emerged since the 4G era, such as carrier shutdown, channel shutdown, symbol shutdown etc., can be
The 5G standard introduces massive MIMO technology. In low base station service load scenarios, such as idle hours at night and non-capacity cell scenarios, it can be considered to
For Dorina Dragomir and Cristina Gheorghe, as stated in their research entitled "Energy eficiency for 5G mobile communications"18, 5G energy eficiency could be increased through:
To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates
BSs are one of the most power consuming elements of a 5G network. It is important to model their energy consumption for analyzing overall energy efficiency of a
Current challenges in energy efficiency include high power consumption and heat dissipation in 5G base stations. Innovations in 5G base station design focus on improving
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
Simulation results demonstrated the effectiveness of the proposed technology in reducing energy consumption and improving energy efficiency in 5G base station networks.
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for
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