Power Consumption Modeling of 5G Multi-Carrier Base
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
For the latter, although energy consumed for service provisioning in high traffic load scenarios may be seen as justifiable, energy saving techniques in spatial-, time-, power-, and frequency domains can still reduce the energy consumed by NR base stations – gNB (Next Generation Node B) also in high traffic load scenarios.
Moreover, UDNs systems frequently experience substantial energy consumption challenges, with base stations representing over 80% of the overall energy expenditure in wireless cellular networks. In response to these challenges, base station sleep technology is increasingly seen as a promising solution .
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.
This is because this paper proposes a base station sleep strategy that directly impacts EE and enhances the ratio of the overall system transmission rate to power consumption. In the final EE results are better than the other two methods.
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