Ue driven antenna tilt

A method of a radio base station of facilitating control of antenna tilt at the radio base station, comprising:

• transmitting, to a selected group of wireless communication devices served by the radio base station, information indicating a location of the radio base station;
• receiving, from each of at least a subset of the wireless communication devices in the group, a trained machine learning model associating a distance of said each 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 at said each wireless communication device;
• and
• aggregating the received trained machine learning models into a single trained machine learning model, which single trained machine learning model is used to control antenna tilt at the radio base station.

A wireless communication device configured to facilitate control of antenna tilt for a radio base station, the wireless communication device comprising a processing unit and a memory, said memory containing instructions executable by said processing unit, whereby the wireless communication device is operative to:

• receive, from the radio base station, information indicating a location of the radio base station;
• determine 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;
• supply 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 to
• transmit 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.

A radio base station configured to facilitate control of antenna tilt at the radio base station, the radio base station comprising a processing unit and a memory, said memory containing instructions executable by said processing unit, whereby the radio base station is operative to:

• transmit, to a selected group of wireless communication devices served by the radio base station, information indicating a location of the radio base station;
• receive, from each of at least a subset of the wireless communication devices in the group, a trained machine learning model associating a distance of said each 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 at said each wireless communication device;
• and to
• aggregate the received trained machine learning models into a single trained machine learning model, which single trained machine learning model is used to control antenna tilt at the radio base station.