Cooperative Sleep and Energy-Sharing Strategy
This paper proposes a cooperative sleep and energy-sharing strategy for heterogeneous 5G base station microgrid (BSMG) systems,
This paper proposes a cooperative sleep and energy-sharing strategy for heterogeneous 5G base station microgrid (BSMG) systems,
Therefore, considering the time-sharing price of power grid, this paper proposes the optimal energy sharing scheduling and load control method of 5G base station cluster with
This paper proposes a cooperative sleep and energy-sharing strategy for heterogeneous 5G base station microgrid (BSMG) systems, utilizing deep learning and an
Fifth-generation mobile communication technology (5G) emerged in response to an explosion in global mobile data traffic, massive-scale device connections and various new
Therefore, considering the time-sharing price of power grid, this paper proposes the optimal energy sharing scheduling and load control method of 5G base station cluster with
With the rapid growth of heterogeneous fifth-generation (5G) communication networks and a surge in global mobile traffic, energy consumption in mobile network systems
In the first stage, warm-start quantum annealing is employed to determine BS deployment locations and capacities. In the second stage, data envelopment analysis (DEA) is
As 5G deployment accelerates globally, operators face a brutal reality: base station energy consumption has skyrocketed 350% compared to 4G networks. How can telecom providers
For mobile networks powered by smart grids and green energy supply, the study in proposed an energy-sharing architecture among base stations based on physical lines and
Grounded in the spatiotemporal traits of chemical energy storage and thermal energy storage, a virtual battery model for base stations is established and the scheduling
In this paper, hybrid energy utilization was studied for the base station in a 5G network. To minimize AC power usage from the hybrid energy system and minimize solar
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