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G. Cayuela:
"Modelling Energy Efficient Data Transmissions";
Supervisor: M. Rupp, P. Svoboda; Institute of Telecommunications, 2014.

In 2014 the mobile traffic is growing very rapidly, approximately each year it´s the double of the previous year and this growth is projected to continue unabated. Thus, the mobile industry needs to prepare for the challenge of meeting an increase on mobile data demand, because with the introduction of smartphones, tablets and USB modems, mobile devices have been evolved into a versatile communication companion. But, while mobile traffic has been growing, the battery capacity increases slightly over the years, in other words, it is not growing fast enough to cope with the needs required by the devices.
In this project we are interested in metering the energy consumption of the User Equipment in a cellular mobile radio network. The goal of the master Thesis is to measure and evaluate the power per bit and setup for different scenarios for UMTS and LTE and find a model for the power per bit consumption. To that end, has been implemented a Java program to measure the relationship between the data rate and the energy consumed by a hardware Power Meter, and once taken multiple measurements with a USB modem, finally by Matlab, the distribution model for the energy consumed has been found.

In 2014 the mobile traffic is growing very rapidly, approximately each year it´s the double of the previous year and this growth is projected to continue unabated. Thus, the mobile industry needs to prepare for the challenge of meeting an increase on mobile data demand, because with the introduction of smartphones, tablets and USB modems, mobile devices have been evolved into a versatile communication companion. But, while mobile traffic has been growing, the battery capacity increases slightly over the years, in other words, it is not growing fast enough to cope with the needs required by the devices.
In this project we are interested in metering the energy consumption of the User Equipment in a cellular mobile radio network. The goal of the master Thesis is to measure and evaluate the power per bit and setup for different scenarios for UMTS and LTE and find a model for the power per bit consumption. To that end, has been implemented a Java program to measure the relationship between the data rate and the energy consumed by a hardware Power Meter, and once taken multiple measurements with a USB modem, finally by Matlab, the distribution model for the energy consumed has been found.

Green Energy, UMTS, Mobile network

http://publik.tuwien.ac.at/files/PubDat_230949.pdf

Project Head Markus Rupp:
DARWIN+: Data Analysis and Reporting in WIreless Networks