Abstract

Green Radio: Dynamic power saving configuration for mobile networks

Traffic demand of a cell site or sector exhibits strong spatial and temporal variation. For instance, commercial areas only experience high traffic demand during day-time while close to zero demand in the evenings and weekends. Power consumption in mobile networks varies in accordance with network traffic load [ 9]. Mobile network parameters are typically statically configured, hence the cell sites a redimensioned for handling peak traffic loads at all times. This leads to wastage of network resources during off-peak hours resulting in additional power consumption [3].

The goal of this challenge is to minimise the power consumption in radio-cells or sectors in order to reduce overall operational expenditure (OPEX) incurred by mobile operators. Specifically, our goal is to develop a framework that understands and takes advantage of the traffic load variations by automating next-day power saving schemes for each individual cell tower in a country. Expected outcome of the project is an algorithm which determines, based on current load and expected demand profile in the area, when to turn off radio-cells or sectors to save power.

Citation information

Data Study Group team. (2020). Data Study Group Final Report: Telenor. http://doi.org/10.5281/zenodo.3786852

Additional information

Elizabeth Forde, University of Manchester
Farhad Hatami, Lancaster University
Juan Ungredda, University of Warwick
Keiran Suchak, Leeds Institute for Data Analytics
Matthias Qian, University of Oxford
Quy Vu, Mott MacDonald
Rajkarn Singh,University of Edinburgh
Ross Gales, University of Oxford
Yifu Ding, University of Oxford
Minh Le Kieu, University of Auckland

Turing affiliated authors