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Simulation results reveal that more than 50% of the energy is consumed by the computation power at 5G small cell base stations (BSs). Moreover, the computation power of 5G small cell BS can approach 800 watt when the massive MIMO (e.g., 128 antennas) is deployed to transmit high volume traffic.
The Small Cell Forum predicts the installed base of small cells to reach 70.2 million in 2025 and the total installed base of 5G or multimode small cells in 2025 to be 13.1 million. “A 5G base station is generally expected to consume roughly three times as much power as a 4G base station.
To get the energy efficiency, in this research work, we have addressed the total power consumption and delay of User Requests (URs) in the small cell as well as 5G small cell BSs with sleeping strategy and N limited scheme. One of the effective ways to reduce the power consumption is introduce BSs sleeping strategy.
Base line small cell base station In cellular networks, to meet the increasing demand of high-data-rate for wireless applications, small cell BSs provide a promising and feasible approach but that consumes more power. The base line of small cell BSs is shown in Fig. 1.
Energy storage capacity is measured in megawatt-hours (MWh) or kilowatt-hours (kWh). Duration: The length of time that a battery can be discharged at its power rating until the battery must be recharged. The three quantities are related as follows: Duration = Energy Storage Capacity / Power Rating
Battery storage power stations are usually composed of batteries, power conversion systems (inverters), control systems and monitoring equipment. There are a variety of battery types used, including lithium-ion, lead-acid, flow cell batteries, and others, depending on factors such as energy density, cycle life, and cost.
The battery compartment is a crucial component for energy storage in power stations, and its capacity expansion is primarily achieved through the series/parallel connection of individual batteries.
On this basis, the battery compartment model of the energy storage station is analyzed and verified by utilizing the circuit series–parallel connection characteristics. Subsequently, the electro-thermal coupling model of the energy storage station is established.
