Energy Analytics for 5G Networks (with Telefonica Research)

The 5th generation of mobile communications (5G) raises the expectations towards connecting the whole society and exploits multiple technologies to be able to accommodate the requirements of a wide range of services. Providing such services, however come at an increased energy cost. Even though the battery capacity of recent 5G smartphones has increased significantly from the earlier LTE phones in the market, these devices have similar battery life to past 4G models. It is foreseen that 5G will be one of the main contributors to the overall increase in power consumption of mobile devices. Therefore, the environmental footprint of 5G, in addition to the technological impact, has to be taken into account to ensure 5G and future generations of wireless technologies exist and thrive in a responsible and energy-stable world.


The goal of the project is to investigate mobile devices' energy footprint while using 5G networks. The students will use 5G supported phones and profile the energy consumption of different popular applications such as web browsing, and video streaming. Similar measurements will be carried out and 5G energy consumption will be compared against other access mechanisms such as WiFi and 4G. The final target of the project is to model the energy consumption of the devices under different settings and using these models, propose algorithms to improve the energy efficiency especially for 5G networks. 

Learning outcome

Good understanding of energy consumption in wireless technologies (Wifi, 4G, 5G), practical experience with real experimentation, ML-oriented Analytics.


Foundations of energy consumption in wireless communications, knowledge of machine learning and big data tools, Python programming, android programming.

Emneord: Energy Efficiency, Machine Learning, Network, 5G, data analysis
Publisert 27. sep. 2022 09:37 - Sist endret 27. sep. 2022 09:37

Omfang (studiepoeng)