Station is the main contributor of energy consumption in cellular mobile communication.
The traffic of base station varies over time and space. Therefore, it is
important to quantify the influence of traffic generated on the power
consumption. This paper investigates changes in the power consumption of base
stations according to their respective traffic and develops a model for the
power consumption as per traffic generated aiming to highlight the power
consumption model development and address the power saving capabilities. The primary
data in terms of power consumption and traffic load have been measured hourly
on fully loaded 10 base stations for 10 days. The regression analysis shows the
existence of a direct relationship between power consumption and traffic
generated. A linear equation is developed is Y = 1.713×X + 1.274, where Y is
power consumption and X is traffic generated, which shows that the power
consumption of base stations linearly depends on the traffic generated. One
noticeable point is that when the traffic is high, the developed linear
equation indicates that the data fits well in the model but on the other hand,
when the traffic is low, the developed linear equation explains less variability
of the response around its mean. This paper also gives an overview of energy
efficiency improvement possibility in base station.
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