The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 22, 2026
Filed:
Mar. 28, 2022
Telefonaktiebolaget Lm Ericsson (Publ), Stockholm, SE;
Athanasios Karapantelakis, Solna, SE;
Lackis Eleftheriadis, Valbo, SE;
Maxim Teslenko, Sollentuna, SE;
Oleg Gorbatov, Luleå, SE;
Kristijonas Cyras, San Jose, CA (US);
Alexandros Nikou, Danderyd, SE;
Gabriella Nordquist, Stockholm, SE;
Cecilia Nyström, Stockholm, SE;
Rohan Kumar Kudroli, Bangalore Karnataka, IN;
TELEFONAKTIEBOLAGET LM ERICSSON (PUBL), Stockholm, SE;
Abstract
A method for managing operational temperature conditions of one or more base stations being executed at a central computing device in a communication system is provided. The method includes acquiring initial operational parameters for each local computing device of a first group of local computing devices associated with the one or more base stations. The method further includes determining one or more clusters by grouping each local computing device of the first group of local computing devices under one of the determined clusters based on the acquired operational parameters. The method further includes training, a central machine learning (ML) model for each determined cluster. The method further includes acquiring, for each local computing device of a second group of local computing devices associated with the one or more base stations, updated operational parameters. The method further includes computing an operational difference measure of the second group of local computing devices using the acquired updated operational parameters. The method further includes determining optimized operational temperature conditions to be transmitted to the second group of local computing devices by using distributed ML, in response to determining that the computed operational difference measure is less than a threshold value.