Abstract: Method comprising: providing, to a second node different from a first node, for each of one or more machine learning models, a respective support indication, wherein the respective support indication indicates that the first node supports the respective machine learning model, and the respective support indication comprises an identifier of the respective machine learning model and at least one capability of the respective machine learning model; monitoring whether the first node receives, from the second node for at least one of the one or more machine learning models, a configuration request requesting to configure the respective machine learning model according to a respective requested configuration; configuring the at least one of the one or more machine learning models according to the respective requested configuration if the first node receives the configuration request for the at least one of the one or more machine learning models from the second node.

Abstract: In accordance with example embodiments of the invention there is at least a method enabling a message 4 from a network node distributed unit to a small data transmission user equipment to include information of both small data payload and a radio resource control release.

Abstract: An apparatus comprising means for implementing a near-real-time radio access network intelligent controller; means for detecting an event triggering a need for an auditing of active service subscriptions at an associated access node; means for transmitting a service subscription audit request to said access node; means for receiving a service subscription audit response comprising information about at least one active any existing service subscription for said near-real-time radio access network intelligent controller from said access node; and means for carrying out a procedure to ensure that a configuration of said at least one active service subscription at the near-real-time radio access network intelligent controller corresponds to the information received from the access node.

Abstract: Systems, methods, apparatuses, and computer program products for a method of mobility between distributed units with a local control plane are provided. For example, a method can include detecting, at a target distributed unit, a handover based on an indication from a source distributed unit after a handover command has been sent to a user equipment to hand over from the source distributed unit to the target distributed unit. The method can also include sending, from the target distributed unit to a central unit user plane, a data transmission resume notification, to trigger to the central unit user plane to resume downlink data transmission toward the target distributed unit. The downlink data transmission was previously suspended by instructions from a source distributed unit to the central unit user plane when the handover was initiated from the source distributed unit to the target distributed unit.

Abstract: There are provided measures for location service continuity in case of mobility procedures. Such measures, for example, comprise, at a first network entity handling connection and mobility management tasks in a mobile network, receiving a first message indicative of completion of a mobility procedure with respect to a terminal in said mobile network, determining whether there is an ongoing location service session for said terminal, and transmitting, if there is said ongoing location service session for said terminal, a second message indicative of completion of said mobility procedure with respect to said terminal towards a second network entity configured to expose a location service for said terminal.

Abstract: A method is provided for determining, at a first stage, a first position of a communications device, inputting, from the first stage, the first position to a machine learning model at a second stage, and determining, at the second stage, at least based on the first position from the first stage, a second position of the communications device by using the machine learning model. The first position is determined at the first stage by using one of at least a non-machine learning model and a machine learning model.

Abstract: A method comprising: receiving a request for a location of a communication device with information indicating an associated required location quality of service of said location; and in response to said information, determining which of a plurality of location methods to use and one or more parameters for said determined location method.

Abstract: There is provided an apparatus, said apparatus comprising means for providing, to at least one distributed unit of a base station from a centralised unit of the base station, an indication to cause at least one measurement relating to an uplink signal from a user equipment to be performed, receiving an indication of a result of the at least one measurement from the at least one distributed unit and providing an indication of the result of the at least one measurement to a location management function.