Abstract: An artificial intelligence, AI, planning controller control the timing of when a plan (16) to accomplish a task (14) is synthesized. The AI planning controller in this regard determines a quiescent phase (20) during which values of at least some predicates describing a state of the system (12) will remain stable. The AI planning controller then controls artificial intelligence planning to synthesize the plan (16) during at least some of the quiescent phase (20).

Abstract: The properties of a plurality of operational units are estimated by generating a central system state graph model representing the properties of the plurality of operational units as probabilities of transitions between states for the plurality of operational units, where the states represent operational data. Then a respective updated system state graph model is generated for each of the plurality of operational units, based on the central system state graph model and based on new operational data for the respective operational unit. A distance measure is determined between the respective updated system state graph models. If the distance measure fulfils a divergence criterion, a plurality of new central system state graph models are generated, each representing the properties of a respective subset of the plurality of operational units as the probabilities of transitions between states for the respective subset of the plurality of operational units.

Abstract: According to one or more embodiments, a node for temporal plan verification and timed game automata, TIGA, controller strategy synthesis for coordination of a plurality of agents is provided. The node includes processing circuitry that is configured to determine a first model of a plurality of temporal plans for timed operations of the plurality of agents violates at least one predefined safety rule, generate the TIGA controller strategy for controlling the timed operations of at least a subset of the plurality of agents where the TIGA controller strategy meets the at least one predefined safety rule and being based on the first model, and cause transmission of the TIGA controller strategy to a dispatch device for translating the TIGA controller strategy to instructions for the plurality of agents.

Abstract: A method of monitoring objects capable of wireless communications is provided. The method includes detecting an activity performed by a user of a wireless communications device, acquiring information identifying an expected set of objects which are associated with the detected activity, determining whether at least one of the objects in the expected set is not in proximity of the wireless communications device, and if so, notifying the user that at least one of the objects in the expected set is not in proximity of the wireless communications device.

Abstract: A computer implemented method performed by a node in a communications network for scheduling transmissions of a plurality of Internet of Things (IoT) devices to network resources in the communications network includes obtaining transmission patterns for the IoT devices. The method then includes clustering the IoT devices into clusters based on the obtained transmission patterns. The method then includes scheduling transmissions of IoT devices in different clusters to different network resources, thereby increasing synchronisation of the transmissions scheduled on each network resource and allowing for increased periods of inactivity of the network resources between transmissions.

Abstract: The present disclosure relates to a method of scheduling communication of a wireless communication device in a communications network, and a device performing the method. A method of a device of scheduling communication of a wireless communication device in a communications network is provided. The method includes determining a geographical path along which the wireless communication device is expected to travel, acquiring data indicating power availability of access points via which the wireless communication device is capable of communicating along the expected geographical path, determining, from the acquired data indicating power availability, via which of the access points communication is to be established along the expected geographical path for avoiding establishing communication with one or more of the access points indicated to be subjected to power failure, and scheduling the communication to occur via the determined access points.

Abstract: A method in a network node is provided for mitigating disruption during maintenance of an edge gateway node of a communication network. The edge gateway node connects devices to services(s) of the communication network. First device(s) are capable of connecting to a cloud environment in the absence of the edge gateway node, and second device(s) are incapable of connecting to the cloud environment in the absence of the edge gateway node. The method comprises: establishing respective virtual devices for the second device(s), the virtual devices comprising predictive models trained to replicate data output by the respective second device(s); and, during a time interval in which the maintenance of the edge gateway node is performed: configuring the virtual device(s) to connect to a virtual edge gateway node established in the cloud environment; and configuring at least one of the first device(s) to connect to the virtual edge gateway node.

Abstract: Embodiments herein relate to a method performed by a first network node (111) configured to operate in a communication network, wherein the first network node (111) is configured with a first machine learning, ML, model and being connected to a second network node (112) configured with a second ML model associated with the first ML model. The first network node obtains first data, from the second network node (112), associated with the second ML model; and upon a condition being fulfilled relating to the obtained first data, the first network node (111) keeps the first ML model as is, following a first evolution branch, and creates an updated version of the first ML model, following a second evolution branch, taking the obtained first data into account.

Abstract: Provided is a method for managing a network slice instance (NSI) in a communications network. A first performance of the NSI is monitored by a first network slice subnet instance (NSSI) associated with the NSI. A first node obtains, from a second node, a request to monitor a second performance of the NSI. The second performance is of one or more microservices to provide data on a sector of the network. The first node determines, based on one or more requirements of the request, to perform one of: i) initiating (303) a creation of a second NSSI adapted to monitor the second performance based on the requirements, and ii) modifying, based on the requirements, an existing second NSSI, to monitor the second performance. The created or modified second NSSI being: a) independent from, and b) sharable with, the first subnet slice instance.

Abstract: A method of monitoring objects capable of wireless communications is provided. The method includes detecting an activity performed by a user of a wireless communications device, acquiring information identifying an expected set of objects which are associated with the detected activity, determining whether at least one of the objects in the expected set is not in proximity of the wireless communications device, and if so, notifying the user that at least one of the objects in the expected set is not in proximity of the wireless communications device.

Abstract: A method for training a central model in a federated learning system is provide. The method includes receiving a first update from a first local model of a set of local models; receiving a second update from a second local model of the set of local models; enqueueing the first update and the second update in one more queues corresponding to the set of local models; selecting an update from the one or more queues to apply to a central model based on determining that a selection criteria is satisfied, the selection criteria being related to a quality of the central model; and applying the selected update to the central model or instructing a node to apply the selected update to the central model.

Abstract: A method of configuration in a communications network includes: obtaining operational data relating to operation of at least one network node, the operational data including, for each of a plurality of time periods, data relating to at least one configuration parameter of the network node and data relating to at least one performance indicator of the network node; defining a plurality of actions, wherein each action corresponds to a specific set of values of the at least one configuration parameter in two successive time periods; and defining a plurality of states, wherein each state corresponds to one specific set of values of the operational data. A probabilistic graph is constructed from the operational data, the probabilistic graph indicating, for a plurality of the defined states, a probability that an action will lead to a transition to a respective other state.

Abstract: A method, performed by a first node, for handling firmware. The first node receives a first indication from a second node. The first indication indicates a task to be performed by a user equipment. The task indicates an action. The action corresponds to a module of a plurality of modules of firmware to perform the action. The entire plurality of modules of firmware is not installed in the user equipment. The first node downloads the module of firmware corresponding to the action onto the user equipment, based on whether or not the module is already downloaded. The first node then enables, in the user equipment, the downloaded module. The enabling is further based on whether or not the downloaded module of firmware corresponding to the action is already enabled in the user equipment.

Abstract: A first network node operating in a communication node can receive a plan indicating tasks to be performed by at least one second network node operating in the communication network. The first network node can determine a network slice schedule based on the tasks to be performed by the at least one second network node operating in the communication network. The first network node can provide the network slice schedule to a network slice orchestrator operating in the communication network.

Abstract: A method of monitoring objects capable of wireless communications is provided. The method comprises detecting an activity performed by a user of a wireless communications device, acquiring information identifying an expected set of objects which are associated with the detected activity, determining whether at least one of the objects in the expected set is not in proximity of the wireless communications device, and if so notifying the user that at least one of the objects in the expected set is not in proximity of the wireless communications device.

Abstract: The properties of a plurality of operational units are estimated by generating a central system state graph model representing the properties of the plurality of operational units as probabilities of transitions between states for the plurality of operational units, where the states represent operational data. Then a respective updated system state graph model is generated for each of the plurality of operational units, based on the central system state graph model and based on new operational data for the respective operational unit. A distance measure is determined between the respective updated system state graph models. If the distance measure fulfils a divergence criterion, a plurality of new central system state graph models are generated, each representing the properties of a respective subset of the plurality of operational units as the probabilities of transitions between states for the respective subset of the plurality of operational units.

Abstract: In a method performed by a first node, the node determines a plan based on: i) a first goal to be achieved according to capabilities of the first node, and a first set of first actions to be performed by the first node to achieve the first goal, and ii) for each second node of one or more second nodes: a) a respective goal to be achieved according to respective capabilities of each second node, and b) a respective set of first actions to be individually performed by each second node to achieve the respective goal. The plan is to collaboratively achieve each of the respective goals and the first goal, by determining a respective set of second actions to be respectively performed by each second node and the first node. The first node sends a respective indication indicating the determined second actions.

Abstract: A method on a central node or server is provided.

Abstract: A method and a location service component for providing an estimate of a location related to a device are disclosed. The location service component receives a request from a client for the estimate of the location and estimates the location based on a predictive model to obtain an initial set of data items. Each data item includes a respective estimate of the location and a set of identities representing one or more further devices in a neighborhood of the device. The location service component obtains a respective location for each of the further devices based on the set of identities. The location service component removes data items that are inconsistent with the respective location for the further devices to obtain a pruned set of data items. The location service component sends, estimates of the pruned set of data items to the client. A corresponding computer program and a computer program carrier are also disclosed.

Abstract: A mobile device for travelling to a destination using a communication network is provided. The mobile device obtains from one or more network nodes in the communication network, a first path over a first sub-region of a region, comprising one or more sub-regions, towards the destination. The mobile device further follows the first path; and upon entering, or being in, a second sub-region of the region having a level of connectivity below a threshold, switches to follow a second path calculated locally at the mobile device.