Evaluation of the energy consumption of the 5G Radio Access
This Master''s thesis will start from a database containing the measured energy consumption and data traffic of deployed 5G base stations in Belgium for two major operators.
This Master''s thesis will start from a database containing the measured energy consumption and data traffic of deployed 5G base stations in Belgium for two major operators.
The network power efficiency with the consideration of propagation environment and network constraints is investigated to identify the energy-efficient architecture for the 5G mobile
When 5G is not deployed, the rise in energy consumption is 18% whereas the data traffic doubles. With full 5G deployment, it increases by 81% without SM and only by 27% with SM, while the total data
This dataset provides normalized real-world measurements of energy consumption and operational data from a large-scale 5G network deployment. It includes
These 5G base stations consume about three times the power of the 4G stations. The main reason for this spike in power consumption is the addition of massive MIMO and beamforming,
Energy consumption of mobile cellular communications is mainly due to base stations (BSs) that constitute radio access networks (RANs). 5G technologies are expected to improve the
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 the Base
The fifth generation of the Radio Access Network (RAN) has brought new services, technologies, and paradigms with the corresponding societal benefits. However,
PDF version includes complete article with source references. Suitable for printing and offline reading.