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UID:bdda4204eb8b9c9228d3d0ed65aa6503
DTSTAMP:20260720T154524Z
SUMMARY:Master Thesis presentation by Henrik Schlemlein-Wenell and Ida Palm
 : ML-based energy-optimized network configuration
DESCRIPTION:Contact: bo.bernhardsson@control.lth.se\n\nTitle: &nbsp\;ML-bas
 ed energy-optimized network configurationAuthor:&nbsp\;Henrik Schlemlein-W
 enell and Ida PalmDate &amp\; Time: May 20th\, 14:00-15:00Location:&nbsp\;
 Seminar Room M 3170-73 in the M-building\, LTHSupervisor: Bo Bernhardsson\
 , Dimitrios Kotsaris (Ericsson) and Ali Nader&nbsp\;(Ericsson)Examiner:&nb
 sp\; Karl-Erik ÅrzenAbstractThe rising energy consumption in modern and f
 uture mobile networks is driven by increasing data demands and system comp
 lexity. This thesis investigates the use of machine learning -based traffi
 c prediction to enable dynamic\, energy-efficient resource management in b
 ase stations. The results highlight the potential of predictive\, data-dri
 ven approaches to support sustainable operation in next generation mobile 
 networks.&nbsp\;&nbsp\;\n\nMore information about the event: https://www.c
 ontrol.lth.se/calendar/master-thesis-presentation-henrik-schlemlein-wenell
 -and-ida-palm-ml-based-energy-optimized-network
DTSTART;TZID=GMT:20260520T120046
DTEND;TZID=GMT:20260520T130046
LOCATION:Seminar Room M 3170-73 in the M-building\, LTH
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