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.

Date of Patent:
Dec. 30, 2025

Filed:

Oct. 14, 2021
Applicant:

Telefonaktiebolaget Lm Ericsson (Publ), Stockholm, SE;

Inventors:

Alexandros Nikou, Danderyd, SE;

Konstantinos Vandikas, Solna, SE;

Swarup Kumar Mohalik, Bangalore Karnataka, IN;

Kaushik Dey, Kolkata, IN;

Lackis Eleftheriadis, Valbo, SE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H01Q 3/04 (2006.01); H04W 16/28 (2009.01);
U.S. Cl.
CPC ...
H01Q 3/04 (2013.01); H04W 16/28 (2013.01);
Abstract

The present disclosure relates to a method of a wireless communication device () of facilitating control of antenna tilt for a radio base station (), a method of a radio base station () of facilitating control of antenna tilt at the radio base station () and further a wireless communication device () and a radio base station () performing the respective method. In a first aspect a method of a wireless communication device () of facilitating control of antenna tilt for a radio base station () is provided. The method comprises receiving (S), from the radio base station (), information indicating a location of the radio base station (), determining (S) a set of values of a measure of quality of a signal received from the radio base station and a distance of the wireless communication device () from the location of the radio base station () at which each value in the set is determined, supplying (S) a machine learning model with the determined set of values of said measure of quality and the distance of the wireless communication device () from the location of the radio base station () for each value, thereby creating a trained machine learning model associating a distance of the wireless communication device () from the location of the radio base station () with a value of a measure of quality of a signal received from the radio base station (), and transmitting (S) the trained machine learning model to the radio base station (), the trained machine learning model being used by the radio base station () to control antenna tilt.


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