In order to solve high energy consumption caused by massive micro base stations deployed in multi-cells, a joint beamforming and power allocation optimization algorithm is proposed in
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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
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By accurately collecting and transmitting power data in real time, they address the pain points of traditional base station energy consumption management, such as data lag, ambiguous
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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
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In contrast to this, we consider deploying smaller base stations, which we refer to as micro base stations. These micro sites are designed to cover much smaller areas, typically around 100 m
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There are several reasons for high energy consumption. Among them, we find that the increase in base station density of the 5G heterogeneous network (5G HetNets) is
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In this paper we study various homogeneous and heterogeneous deployment strategies incorporating micro base stations with focus on energy efficiency represented by area power
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In this article, a mathematical model of the power supply system for a mobile communication base station is developed. Based on the developed mathematical model, the mobile communication
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In this paper we developed such power models for macro and micro base stations relying on data sheets of several GSM and UMTS base stations with focus on component
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In this paper we developed such power models for macro and micro base stations relying on data sheets of several GSM and UMTS base stations with focus on component level, e.g., power amplifier and cooling equipment. In a first application of the model a traditional macro cell deployment and a heterogeneous deployment are compared.
In recent years, many models for base station power con-sumption have been proposed in the literature. The work in proposed a widely used power consumption model, which explicitly shows the linear relationship between the power transmitted by the BS and its consumed power.
Debaillie, C. Desset, and F. Louagie, “A flexible and future-proof power model for cellular base stations,” in IEEE 81st Vehicular Tech-nology Conference (VTC Spring), 2015, pp. 1–7. S.
D. L ́opez-P ́erez et al., “Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation,” in IEEE IEEE Global Communications Conference (GLOBECOM), Dec. 2021.
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