May
Master Thesis presentation by Henrik Schlemlein-Wenell and Ida Palm: ML-based energy-optimized network configuration
All seminars are held at the Department of Automatic Control, in the seminar room M 3170-73 on the third floor in the M-building, unless stated otherwise.
- Title: ML-based energy-optimized network configuration
- Author: Henrik Schlemlein-Wenell and Ida Palm
- Date & Time: May 20th, 14:00-15:00
- Location: Seminar Room M 3170-73 in the M-building, LTH
- Supervisor: Bo Bernhardsson, Dimitrios Kotsaris (Ericsson) and Ali Nader (Ericsson)
- Examiner: Karl-Erik Årzen
Abstract
The rising energy consumption in modern and future mobile networks is driven by increasing data demands and system complexity. This thesis investigates the use of machine learning -based traffic prediction to enable dynamic, energy-efficient resource management in base stations. The results highlight the potential of predictive, data-driven approaches to support sustainable operation in next generation mobile networks.
About the event
Location:
Seminar Room M 3170-73 in the M-building, LTH
Contact:
bo [dot] bernhardsson [at] control [dot] lth [dot] se