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: Optimizing link adaptation for a communication session with a user device is disclosed herein. In one embodiment, a method performed by a network node of a telecommunications network to optimize link adaptation for a communication session with a user device comprises receiving a link adaptation state update message from a user device, wherein the link adaptation state update message comprises one or more link adaptation state information elements associated with a communication link between the network node and the user device. The method further comprises determining one or more link adaptation parameters for communicating with the user device based on the link adaptation state update message.

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: 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 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: 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: 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: Systems and method for inter-node exchange of link adaptation assistance information in a communications system are disclosed. In one embodiment, a method performed by a first network node comprises obtaining link adaptation assistance information associated to at least one communication device served by the first network node and transmitting a link adaptation assistance information message comprising the link adaptation assistance information to a second network node. In this manner, more efficient and better performing link adaptation algorithms in the communications system are enabled. Corresponding embodiments of a first network node are also disclosed herein. Corresponding embodiments of a second network node and a method of operation thereof are also disclosed.

Abstract: Systems and methods are disclosed for inter-node exchange of data formatting configuration related to formatting of data for execution of a at least a machine learning (ML) or artificial intelligence (AI) process, or ML or AI model thereof. In one embodiment, a method performed by a first network node comprises receiving a first message from a second network node, the first message comprising information about how to format data for execution of at least a ML or AI process, or ML or AI model thereof, that is available for execution at the first network node. The method further comprises executing the at least a ML or AI process, or the ML or AI model thereof, based on the information comprised in the first message.

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 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 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 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: Providing user device assisted link adaptation in communication networks is disclosed herein. In one embodiment, a method performed by a network node of a telecommunications network for optimizing selection of radio resources and transmission format for a communication session with a user device comprises receiving, by the network node, a link adaptation report message from the user device, wherein the link adaptation report message comprises a link adaptation report. The method further comprises determining a scheduling grant comprising an allocation of radio resources for the user device based on the link adaptation report. The method also comprises transmitting the scheduling grant to the user device.

Abstract: Embodiments include methods for beam-level mobility load balancing, MLB, in a radio access network, RAN. Optionally, such methods include receiving (1810) measurement reports from a plurality of user equipment, each measurement report comprising radio measurements related to a source beam associated with a source node and target beams associated with one or more target nodes. Such methods include exchanging (1820) beam-level load information with the target nodes and, based on the beam-level load information and (optionally) the reports, selecting (1830) one or more target beams, associated with a particular target node, for MLB operations with the source beam.

Abstract: A method is disclosed for managing a wireless device that is operable to connect to a communication network. The communication network comprises a Radio Access Network (RAN), and the method is performed by a RAN node of the communication network. The method comprises determining, on the basis of information about an operating environment of the wireless device, configuration information for a Machine Learning (ML) model to be executed by the wireless device, and sending, to the wireless device, the determined configuration information. The ML model is operable to provide an output on the basis of which at least one RAN operation performed by the wireless device may be configured.

Abstract: According to certain embodiments, a method performed by a Radio Access Network, RAN, node includes transmitting a data collection request to a network control entity. The data collection request indicates a request to start data collection within a Radio Access Network, RAN. The method includes receiving a data collection response from the network control entity. The data collection response indicates whether the RAN can start the data collection procedure. In response to the data collection response indicating that the RAN can start the data collection procedure, the method includes transmitting a data collection configuration message initializing data collection by at least one User Equipment, UE.

Abstract: A communication device can operate in a wireless communication network. The communication device can detect a measurement report triggering event based on a measurement of a first reference signal received by the communication device and based on a measurement of a second reference signal received by the communication device. The first and second reference signals can be different. The communication device can further transmit a measurement report to the wireless communication network responsive to detecting the measurement report triggering event. The measurement report includes at least one of the measurement of the first reference signal and/or the measurement of the second reference signal.

Abstract: A method performed by a central node for controlling an exploration strategy associated to Reinforcement Learning, RL, in one or more RL modules in a distributed node in a Radio Access Network, RAN, is provided. The central node evaluates a cost of actions performed for explorations in the one or more RL modules, and a performance of the one or more RL modules. Based on the evaluation, the central node determines one or more exploration parameters associated to the exploration strategy. The central node controls the exploration strategy by configuring the one or more RL modules with the determined one or more exploration parameters to update its exploration strategy, enforcing the respective one or more RL modules to act according to the updated exploration strategy to produce data samples for the one or more RL modules in the distributed node.

Abstract: A method is disclosed for managing a Radio Access Network (RAN) operation performed by a first node in a communication network that comprises a RAN. The method is performed by the first node and comprises receiving a representation of a state of a second node with respect to the RAN operation, wherein the state of the second node comprises a compressed representation of parameter values that describe at least one of a physical state, a radio environment or a physical environment experienced by the second node or experienced by at least one node that is connected to the communication network via the second node. The method further comprises using the received state representation to generate a configuration action for the RAN operation and initiating configuration of the RAN operation in accordance with the generated configuration action.