However, the construction and operation of 5 G base stations face significant energy consumption challenges. Under full-load conditions, the power consumption of 5 G base stations is approximately 3–4 times that of 4 G base stations, which has a notable impact on energy consumption and environmental concerns (Zhang et al., 2020, Feng et al., 2012).
(1) Incorporation of Communication Caching Technology: The model includes communication caching technology, which fully leverages the delay-tolerant characteristics of communication flows, further enabling energy saving in 5 G base stations.
This section integrates the characteristics of power components and data flow to construct an energy-saving operation model for the 5 G base station. Through optimization, the optimal energy-saving and carbon-reduction strategies for each time period are obtained, thereby promoting energy conservation and emission reduction in 5 G base stations.
1. Introduction In recent years, with the widespread deployment of 5 G technology, global communication data traffic has experienced rapid growth, leading to an increase in the construction and operational scale of communication base stations (Dangi et al., 2021, Ahmad et al., 2024).
Power consumption models for base stations are briefly discussed as part of the development of a model for life cycle assessment. An overview of relevant base station power
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We demonstrate that this model achieves good estimation performance, and it is able to capture the benefits of energy saving when dealing with the complexity of multi-carrier base stations architectures.
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This paper proposes a power control algorithm based on energy efficiency, which combines cell breathing technology and base station sleep technology to reduce base station energy consumption
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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 communication caching and
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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,
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