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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Considering the construction of the 5G base station in a certain area as an example, the results showed that the proposed model can not only reduce the cost of the 5G base
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It is thus concluded that although a single microcell base station has a lower energy efficiency than a macrocell base station, it is useful to introduce microcell base stations in the network.
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With the exponential growth of mobile communications, Small Cell Base Stations (SCBSs) have emerged as an inevitable solution for 5G networks. Nevertheless, due
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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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With the exponential growth of mobile communications, Small Cell Base Stations (SCBSs) have emerged as an inevitable solution for 5G networks. Nevertheless, due
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The need to increase the number of base stations to provide wider and more dense coverage has led to the creation of small cells. Small cells are a new part of the 5G platform that increase
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However, there is still a need to understand the power consumption behavior of state-of-the-art base station architectures, such as multi-carrier active antenna units (AAUs), as well as the
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In order to reduce the power consumption of cellular base stations (BSs), the following BS architectures have been developed: micro cell BSs, and remote radio head (RRH)-based BSs.
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In order to reduce the power consumption of cellular base stations (BSs), the following BS architectures have been developed: micro cell BSs, and remote radio head (RRH)-based BSs.
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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,
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