Abstract: Embodiments include methods for a RAN node configured to manage configured to manage quality-of-experience (QoE) measurements by user equipment (UEs) operating in the RAN. Such methods include receiving, from a network node or function (NNF), a first number of QoE measurement collection, QMC, configurations and identifying a UE to perform QoE measurements according to the first number of QMC configurations. Such methods include selectively providing the first number of QMC configurations to the UE, based on the first number and one or more of the following: a maximum number of concurrent QMC configurations the UE can retain, respective priority levels of the first number of QMC configurations, and current signaling load in the RAN. Other embodiments include complementary methods for a UE, as well as RAN nodes and UEs configured to perform such methods.

Abstract: Embodiments include methods for a user equipment (UE) configured for application-layer measurements in a radio access network (RAN). Such methods include receiving one or more configurations of application-layer measurements to be performed by the UE while the UE is connected to the RAN and, in response to an interruption in the UE's connection to the RAN while the CE is configured to perform the application-layer measurements, sending to the RAN a request to resume the UE's connection or a request to reestablish the UE's connection. Such methods also include, in response to the request sent to the RAN, receiving from the RAN a command to setup a new connection to the RAN and in response to the command, releasing the received configurations and discarding any stored application-layer measurement reports. Other embodiments include complementary methods for RAN nodes, as well as UEs and RAN nodes configured to perform such methods.

Abstract: A method (400) performed by a first network node (101). The method includes the first network node obtaining (s402) model performance feedback information (MPFI) for an artificial intelligence (AI) model. The method also includes the first network node providing (s404) the MPFI to a model training function (112). The MPFI provides information that the model training function (112) can use to determine whether the AI model needs to be updated or replaced by a new AI model.

Abstract: A method performed by a first network node includes determining one or more Local node Identifiers. The method includes transmitting the one or more Local node Identifiers to a second network node neighboring the first network node, each of the one or more Local node Identifiers including: an Inactive-Radio Network Temporary Identifier, I-RNTI, profile valid for the first network node and associated with a full I-RNTI; and/or an I-RNTI profile valid for the first network node and associated with a short I-RNTI. The method includes transmitting a radio resource control, RRC, release message with suspend configuration to a user equipment, to transition the user equipment to RRC Inactive, the RRC release message including a Local node Identifier for the first network node and a UE context identifier.

Abstract: A first network node in a network including a second network node can, responsive to detecting a capacity issue and/or a coverage issue, transmit a configuration update request message to the second network node. The configuration update request message includes an indication of a requested configuration change for the second network node. The first network node can receive a configuration update message from the second network node. The configuration update message can include an indication of a configuration update selected by the second network node.

Abstract: In certain embodiments, a method performed by a first radio access network (RAN) node comprises receiving, from a second RAN node, load metrics associated with a shared channel and listen-before-talk (LBT) configuration information. The LBT configuration information indicates how a determination is made whether the shared channel is occupied or available for communication between the second RAN node and a wireless device. The method further comprises performing one or more operations of the first RAN node based at least in part on the load metrics and the LBT configuration information received from the second RAN node.

Abstract: A method is disclosed that is performed by a first network node in communication with a second network node. The second network node has been requested or is being requested to send measurements and/or predictions available at the second network node to the first network node. The method comprises receiving, from the second network node, a first message comprising a first indication that sending of measurements and/or predictions from the second network node to the first network node is to be paused, delayed, resumed, or stopped. Also disclosed are a method performed by a second network node, and first and second network nodes.

Abstract: Monitoring the performance of an Artificial Intelligence (AI)/Machine Learning (ML) model or algorithm is disclosed herein. In one embodiment, a method performed by a first network node in a radio communication network comprises sending at least one first message to a second network node of the radio communication network, the at least one first message comprising a subscription request to obtain from the second network node one or more historical data elements associated with the AI/ML model or algorithm. At least one second message, comprising one or more historical data elements associated with the AI/ML model or algorithm to be monitored by the first network node, is received from the second network node. At least one performance metric associated with the AI/ML model or algorithm to be monitored is determined based on the one or more historical data elements associated with the AI/ML model.

Abstract: A method performed by a first network is provided. The method includes the first network node generating a first message, the first message comprising a request relating to an energy or power consumption status of a second network node. The method includes transmitting the first message towards the second network node. The method includes receiving a second message transmitted by the second network node, the second message comprising a response to the first message. A method performed by a second network node is also provided. The method includes the second network node receiving a first message transmitted by a first network node, the first message comprising a request relating to an energy or power consumption status of the second network node. The method includes the second network node transmitting a second message towards the first network node, the second message comprising a response to the first message.

Abstract: Systems and methods are disclosed herein that relate to influencing training of a Machine Learning (ML) model based on a training policy provided by an actor node are disclosed herein. In one embodiment, a method performed by a first node for training a ML model comprises receiving a training policy for a ML model from a second node, the training policy comprising information that indicates two or more accuracy or importance metrics for two or more ranges of values for a variable to be predicted by the ML model. The method further comprises training the ML model based on a training dataset and the training policy. In one embodiment, the first node is either a training and inferring node or a training node that operates to train the ML model, and the second node is an actor node to which predictions made using the ML model are to be provided.

Abstract: A method (600) performed by a first network node (100A, 800) for coordinating with a second network node (100B, 800) with respect to an energy metric. The method includes the first network node determining or identifying (s602) based on the energy metric at least one of: (i) an action to perform or (ii) a request relating to the second network node. The method also includes the first network node generating (s604) a first message, the first message comprising an indication that the action or the request is due to an energy saving reason. The method further includes the first network node transmitting (s606) the first message towards the second network node.

Abstract: Embodiments include methods for a first network node of a wireless network. Such methods include determining a predicted modification in coverage and/or capacity, during a subsequent time period, of one or more of the following served by the first network node: one or more cells, and one or more reference signal (RS) beams. Such methods also include sending, to a second network node of the wireless network, a first message comprising an indication of the predicted modification in coverage and/or capacity. Other embodiments include complementary methods for the second network node, as well as network nodes configured to perform such methods.

Abstract: Embodiments include methods for a first network node of a wireless network. Such methods include receiving, from a second network node of the wireless network, a first message comprising traffic status information for the second network node and performing one or more of the following operations based on the traffic status information: predicting a change in load and/or interference in a coverage area of the first network node; adjusting configurations of one or more cells and/or one or more beams served by the first network node; requesting the second network node to adjust configurations of one or more cells and/or one or more beams served by the second network node; mobility load balancing with respect to one or more user equipment (UEs) served by the first network node; and configuring one or more UEs served by the first network node to use communication settings that are more robust to interference.

Abstract: A method is disclosed for managing resources in a Radio Access Network (RAN) of a communication network. The method, performed by a first node in the RAN, comprises obtaining a record of resource status information describing usage, during a historical time period, of RAN resources controlled by a second node in the RAN and predicting, based on the obtained record, resource status information describing usage of RAN resources controlled by the second node during a future time period. The method further comprises performing at least one of using the predicted resource status information describing usage of RAN resources controlled by the second node in a process relating to management of RAN resources controlled by the first node, or sending, to a third node in the RAN, a representation of the predicted resource status information describing usage of RAN resources controlled by the second node.

Abstract: Embodiments include methods for a first network node of a wireless network. Such methods include sending, to a second network node in the wireless network, a first message comprising an indication of predicted future adjustments of mobility-related settings, of the first network node, for mobility of users between a coverage area of the first network node and an adjacent coverage area of the second network node. Such methods include receiving, from the second network node in response to the first message, a second message indicating one or more of the following: acknowledgement, confirmation, or rejection of the predicted future adjustments; and corresponding adjustments of mobility-related settings for the second network node. Other embodiments include complementary methods for a second network node and a third network node, as well as network nodes configured to perform such methods.

Abstract: Embodiments include methods for a user equipment (UE) configured to operate in a cell of a wireless network. Such methods include receiving, from a network node of the wireless network, one or more configurations for UE operation in the cell and determining one or more of the following information associated with at least the received configurations and with UE data traffic: UE energy efficiency (EE), and quality-of-service (QoS). Such methods also include sending, to the network node, the determined information or one or more indications thereof. In some embodiments, such methods also include receiving, from the network node, a further configuration for UE operation in the cell. Other embodiments include complementary methods for a network node, as well as UEs and network nodes configured to perform such methods.

Abstract: Methods for managing quality-of-experience, QoE, measurements by a user equipment, UE. A first example method, carried out by a first radio access network, RAN, node, comprises transmitting (1010), to a second node in the RAN, configuration information for one or more RAN-visible QoE measurements configured for the UE by the first node. The second node may be associated with the first node with respect to at least one of: changing a configuration for the UE for multi-connectivity; mobility for the UE; RRC resume or RRC reestablishment for the UE; and switching transfer of data for the service from a path going to the UE via the first RAN node to a path going to the UE via the second RAN node.

Abstract: Techniques for managing quality-of-experience (QoE) measurements by a user equipment (UE). An example method, in a first node in a radio access network (RAN), comprises transmitting (1010), to a second node in the RAN, status information for measurements associated to one or more QoE measurements configured for the UE by the first node. The second node may be associated with the first node with respect to at least one of the following: changing a configuration for the UE for dual connectivity; mobility of the UE; RRC resume or RRC reestablishment of the UE; and switching the transfer of data for the service from a path going to the UE via the first RAN node to a path going to the UE via the second RAN node.

Abstract: A first example of a method according to an embodiment of the invention comprises a method performed by a wireless device for initiating performance of Quality of Experience, QoE, measurements for a first application. The wireless device receives (402), from a base station, a first request to perform one or more measurements according to a QoE measurement configuration, wherein the request comprises an indication of the QoE measurement configuration, wherein the QoE measurement configuration is associated with a service type of a first application and at least one service subtype of the first application. The wireless device initiates (404) one or more QoE measurements according to the QoE measurement configuration; and transmits (406) a QoE measurement report comprising results of the one or more QoE measurements to the base station.

Abstract: A wireless device (12) configures an application layer (24) of the wireless device (12) with an application layer configuration (20-1) that governs performance of measurements at the application layer (24) and/or reporting of those measurements to a radio network layer (22) of the wireless device (12). After configuring the application layer (24) with the application layer configuration (20-1), the wireless device (12) receives at the radio network layer (22) a message (26) indicating a target configuration (16-2) with which the wireless device (12) is to be configured in association with a radio network layer procedure. Based on receiving the message (26), if each of one or more conditions are fulfilled, the wireless device (12) sends from the radio network layer (22) to the application layer (24) an instruction (30) on how the application layer (24) is to handle the application layer configuration (20-1).