Traffic Modeling using Power Consumption of Base Station: The case of Ethio telecom
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Date
2018-10
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AAU
Abstract
Wireless telecommunication networks have become fundamental to daily activities. The
mobile telecommunication market in Ethiopia is grown significantly in the past few years.
Recently there are about 67.5 million mobile subscribers served by 7,353 base stations. Now a
day’s optimizing the energy consumption of wireless telecommunications infrastructure has
become a new challenge for the research community, governments and industries in order to
reduce CO2 emission and operational energy cost.
In view of the above problems, operators should have to have proper strategy to own energy
efficient network. Studying the relationship between traffic load and power consumption at
a Base Station (BS) could help to have proper strategy. The real time hourly data of the power
consumption and traffic load have been obtained from servers where measurement is
performed on a fully operated base stations. In this thesis, we analyze and model traffic load
based on power consumption at a BS using MATLAB, R-studio and Excel.
The analysis show a direct relationship is obtained between base station traffic load and
power consumption. According to the relationship, we develop a piecewise linear model for
base stations serving GUL (GSM, UMTS and LTE) and GU (GSM and UMTS) technologies.
This result can be input for energy saving techniques. This thesis also analyzes the power
consumption data has lognormal distribution and the traffic load data has Weibull
distribution.
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Keywords
Base Station, Modelling, Power consumption, Mobile communication, Lognormal, Weibull distribution