HOME / power consumption analysis of a 5g nr base transceiver
The energy consumption of the fifth generation (5G) of mobile networks is one of the major concerns of the telecom industry. However, there is not currently an accurate and tractable approach to evaluate 5G base stations' (BSs') power consumption.
The power consumption of a single 5G station is 2.5 to 3.5 times higher than that of a single 4G station. The main factor behind this increase in 5G power consumption is the high power usage of the active antenna unit (AAU). Under a full workload, a single station uses nearly 3700W.
Although the absolute value of the power consumption of 5G base stations is increasing, their energy efficiency ratio is much lower than that of 4G stations. In other words, with the same power consumption, the network capacity of 5G will be as dozens of times larger than 4G, so the power consumption per bit is sharply reduced.
The main factor behind this increase in 5G power consumption is the high power usage of the active antenna unit (AAU). Under a full workload, a single station uses nearly 3700W. This necessitates a number of updates to existing networks, such as more powerful supplies and increased performance output from supporting facilities.
Mobile network operators (MNOs) face frequent power supply failures at BTS sites, leading to revenue loss and increased operational expenditure (OPEX). Despite their critical role, BTSs face significant operational challenges due to vulnerabilities in their power supply. These disruptions can arise from various external and internal sources .
To determine the reliability and availability of a UPS system, a method based on Monte Carlo simulation was used in [6, 7]. Furthermore, techniques, such as fault tree analysis and Bayesian networks, have been employed to document a number of system parameters to determine the probability of system failure.
Furthermore, analyzing the impact of power system faults on the overall runtime of a system can also be an area of focus for future research. System faults can result in the failure of critical components, which can lead to unexpected downtime and significant financial losses.
To eliminate these problems, it is important to accurately evaluate the performance of electrical appliances. With this in mind, this paper investigates the power, runtime, and related quantities of Uninterruptible Power Supply (UPS) systems. This information can be used to understand the lifespan, safety, and efficiency of these systems.
Because it is estimated that in 5G, the base station's density is expected to exceed 40–50 BSs/ Km 2 . The energy consumption of the 5G network is driving attention and many world-leading network operators have launched alerts about the increased power consumption of the 5G mobile infrastructure .
Kuo-Chi Chang et al. have proposed an energy-saving technology for 5G base stations using Internet of Things (IoT) collaborative control. It addresses the issue of high energy consumption in dense 5G networks, particularly during periods of low traffic.
This restricts the potential use of the power models, as their validity and accuracy remain unclear. Future work includes the further development of the power consumption models to form a unified evaluation framework that enables the quantification and optimization of energy consumption and energy efficiency of 5G networks.
Energy consumption growth of the fifth-generation (5G) mobile network infrastructure can be significant due to the increased traffic demand for a massive number of end-users with increasing traffic volume, user density, and data rate.
The data suggest that the turbine consumes at a minimum rate of about 50 kW, or 8.3% of its reported production over those years (which declined 2-4% each year). There is also the matter of reactive power (VAR). As wind facilities are typically built in remote areas, they are often called upon to provide VAR to maintain line voltage.
The largest energy consumer in the BS is the power amplifier, which has a share of around 65% of the total energy consumption . Of the other base station elements, significant energy consumers are: air conditioning (17.5%), digital signal processing (10%) and AC/DC conversion elements (7.5%) .
Assuming for simplicity equal energy consumption for each month during a year, total yearly energy consumption of this BS site is 64,171.2 kW. The operator has approximately 2,000 installed BS sites and average energy consumption per site is approximately 60% of monthly/yearly consumption of the analyzed BS site.
The real data in terms of the power consumption and traffic load have been obtained from continuous measurements performed on a fully operated base station site. Measurements show the existence of a direct relationship between base station traffic load and power consumption.
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