LiU > IDA > Real-Time Systems Lab
ABOUT
MEMBERS
COOPERATION
PROJECTS
PUBLICATIONS
COURSES
OPEN POSITIONS
THESES
ALUMNI

Announcements

[16 May 2017] A bachelor student at RTSLAB was awarded the best thesis award from IDA - Tim Hultman. more ...

[12 May 2016] A master student at RTSLAB was awarded the best thesis award from IDA - Alexander Alesand. more ...

[12 May 2016] A bachelor student at RTSLAB was awarded the best thesis award from IDA - Mathias Almquist and Viktor Almquist. more ...

[25 May 2015] A master student at RTSLAB was awarded the best thesis award from IDA - Klervie Toczé. more ...

[26 May 2014] A bachelor student at RTSLAB was awarded the best thesis award from IDA - Simon Andersson. more ...

[31 May 2012] A masters student at RTSLAB was awarded the best thesis award from IDA - Ulf Magnusson. more ...

[27 February 2008] A masters student at RTSLAB was awarded the best thesis award from IDA - Johan Sigholm. more ...

[03 March 2004] A masters student at RTSLAB was awarded the best thesis award from IDA - Tobias Chyssler. more ...

[01 Jul 2003] For second year in a row a masters student at RTSLAB was awarded the best thesis award from SNART - Mehdi Amirijoo. more ...

Master Thesis - Past Projects - Abstract

Extension of EnergyBox for LTE networks

ID: LIU-IDA/LITH-EX-G--16/066--SE

With the steady increase in the use of mobile technologies, studying the energy consumption of mobile applications becomes more interesting. In this thesis, the energy consumption of such applications connected to Long Term Evolution (LTE) cellular networks is studied. Using physical measurements on a mobile device, this thesis aims at characterizing the energy consumption due to communication of a mobile device connected to an LTE network in order to extend EnergyBox. EnergyBox is a tool that estimates the communication energy of mobile devices using packet traces as input. We perform systematic experiments which exercise the LTE network interface of a mobile device while measuring the consumed power. Using the resulting data and a literature review of the operation of the LTE interface an energy model for LTE is developed. The model is then implemented in EnergyBox. The evaluation of the model is performed by comparing the accuracy of the energy model to physical measurements using five different packet traces from different mobile applications. The results show that the model integrated in EnergyBox provides an average accuracy of between 90% and 100%.

Keywords: LTE, energy consumption, energy efficiency, traffic patterns

File: Click here to download/view the thesis

Author(s): Gunnar Berg

Contact: Simin Nadjm-Tehrani

Click here to return.
Last modified February 2017. If you have questions or suggestions for the webpages, contact the webmaster