Abstract: Embodiments herein relate to a method performed by a network node (10) for handling monitoring of applications and/or services in a communication network. The network node (10) obtains an indication associated with a monitoring session to monitor a metric of a service and/or application; and also obtains a location of deployment of the service and/or application. The network node identifies one or more ongoing monitoring sessions for monitoring one or more metrics based on the metric associated with the indication and the location of deployment of the application or service. The network node (10) then selects a monitoring process based on the identification; and triggers the selected monitoring process.

Abstract: There is provided a method performed by a central entity of a network. A first set of features is selected for a machine learning model to take into account when analysing data. The machine learning model is to be deployed at an edge entity of the network. The selection is based on first information indicative of data that is available for the machine learning model to analyse, second information indicative of features that are available for the machine learning model to take into account when analysing data, and contextual information associated with the network.

Abstract: A method for operating a telecom network having an SLA agreement is disclosed. The method comprises obtaining annotated alarm data comprising an indication of a threshold crossing of at least one state variable of the telecom network defined by the SLA. The annotated alarm data further comprises an indication of a desired value of the at least one state variable of the telecom network. Moreover, the method comprises determining a desired state of the telecom network based on the desired value of at least one state variable, and selecting a set of policy actions from a policy action bank. The policy action bank comprises a plurality of policy actions, where each policy action is associated with at least one estimated action effect.

Abstract: Methods provide wireless communication using a plurality of Antenna Processing Units APUs distributed along a radio stripe and sharing a bus along the radio stripe. Access is provided to a plurality of APU activation/deactivation states for a respective plurality of environmental conditions, wherein each one of the plurality of APU activation/deactivation states defines APUs of the plurality of APUs that are activated and APUs of the plurality of APUs that are deactivated for the respective one of the plurality of environmental conditions. Responsive to detecting a first one of the plurality of environmental conditions, a first one of the plurality of APU activation/deactivation states corresponding to the first one of the plurality of environmental conditions is applied to activate a first subset of the APUs and to deactivate a second subset of the APUs, wherein the first and second subsets of APUs are mutually exclusive.

Abstract: Methods (600) and systems (700) for selecting a frequency band for a device. In one aspect, the method comprises receiving (s602) from the device a request for a particular service type. The method further comprises determining (s604) a set of two or more frequency bands that are available for the device. Said set of two or more frequency bands comprises a first frequency band and a second frequency band. The method further comprises selecting (s606), based on the particular service type being requested and at least one of a knowledge base or a machine learning (ML) model, one of the frequency bands included in the set of two or more frequency bands.

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: It is provided a method for adjusting a network of sensor devices. The network also comprises an aggregation node for aggregating sensor data from at least two of the sensor devices to processed data and an application node configured to approach an application goal based on the processed data. The method is performed in a network device. The method comprises repeatedly performing the steps of: receiving an evaluation of performance of the application node in relation to the application goal; determining that the evaluation indicates that an adjustment is needed; responsive to determining that an adjustment is needed, determining an operation adjustment of at least one of the aggregation node and the sensor devices; and triggering the adjustment.

Abstract: Embodiments herein may relate to a method performed by a radio network node for handling communication over a bandwidth interval for one or more UEs, in a wireless communication network. The radio network node determines to change a currently used bandwidth interval based on a current state of usage of resources in the 5 currently used bandwidth interval related to number of UEs served and/or a current state of positions of the number of UEs served. With the proviso that it is determined to change the currently used bandwidth interval, the radio network node calculates a changed bandwidth interval to use. The radio network node then adjusts the currently used bandwidth interval to the calculated bandwidth interval; and uses the adjusted 10 bandwidth interval for communicating with the one or more UEs.

Abstract: Embodiments described herein relate to methods and apparatuses for training a neural network. A method comprises receiving an input data set at a layer of the neural network; performing a forward pass and a backward pass on the input data set to determine regular output data; calculating a first loss associated with the regular output data; performing a quantized forward pass and a quantized backward pass on the input data set to determine quantized output data; calculating a second loss associated with the quantized output data; comparing the first loss to the second loss; and based on the comparison determining whether to reduce the input data set to provide a reduced data set.

Abstract: A method performed by a network node for handling one or more operations in a communications network comprising a plurality of computing devices performing one or more tasks. The network node obtains initial parameters relating to the plurality of computing devices, environment and the communications network; and generates a plan by taking one or more operation goals involving the plurality of computing devices into account as well as the obtained initial parameters, wherein the generated plan relates to operation of the plurality of computing devices. The network node further computes a number of back-up plans, wherein the number of back-up plans are taking one or more events into account wherein the one or more events relate to operation of the plurality of computing devices; and executes one or more operations using the generated plan, and in case the one or more events occur, using a computed back-up plan.

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 method for operating a telecom network having an SLA agreement is disclosed. The method comprises obtaining annotated alarm data comprising an indication of a threshold crossing of at least one state variable of the telecom network defined by the SLA. The annotated alarm data further comprises an indication of a desired value of the at least one state variable of the telecom network. Moreover, the method comprises determining a desired state of the telecom network based on the desired value of at least one state variable, and selecting a set of policy actions from a policy action bank. The policy action bank comprises a plurality of policy actions, where each policy action is associated with at least one estimated action effect.

Abstract: In one aspect there is a method for detecting whether a first system should be declared as an impostor. In one embodiment, the method includes generating baseline system output information using first system input; exposing the first system to the first system input; obtaining first system output information generated by the first system based on the first system's exposure to the first system input; determining a first similarity measure that indicates a similarity between the baseline system output information and the first system output information generated by the first system; and using the first similarity measure, determining whether or not to declare the first system as an impostor.

Abstract: Methods provide wireless communication using a plurality of Antenna Processing Units APUs distributed along a radio stripe and sharing a bus along the radio stripe. Access is provided to a plurality of APU activation/deactivation states for a respective plurality of environmental conditions, wherein each one of the plurality of APU activation/deactivation states defines APUs of the plurality of APUs that are activated and APUs of the plurality of APUs that are deactivated for the respective one of the plurality of environmental conditions. Responsive to detecting a first one of the plurality of environmental conditions, a first one of the plurality of APU activation/deactivation states corresponding to the first one of the plurality of environmental conditions is applied to activate a first subset of the APUs and to deactivate a second subset of the APUs, wherein the first and second subsets of APUs are mutually exclusive.

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: Complete and partial object publication using, for example, MQTT or other protocol is described. In some embodiments, an emphasis is placed on keeping the amount of state information that the broker must maintain to a minimum, as well as allowing idempotent operations over objects in order to keep the object view between the subscribers consistent. Embodiments are described in which only the parts of an object have changed are transferred to the subscribers who subscribe to that object.

Abstract: A controller node (18) and method for determining a network parameter are provided. The controller node (18) determines (S240) type information associated with wireless devices which are connected to a radio network node. The controller node (18) further determines (S250) the network parameter based on the type information.

Abstract: A method and a communication device for determining a score relating to a first agent module are described. The communication device receives information relating to at least one request, performed by another agent module separate from the first agent module, for consumption of a capability of the first agent module. The information relating to the at least one request includes information about the capability of the first agent module, information about an intention of the first agent module, and information about a policy for the capability. The communication device calculates the score in relation to the first agent module based on the information relating to the at least one request, wherein the score further is specified with respect to the capability.

Abstract: It is provided a method for providing device data from a source device to a data requester. The method is performed in a data provider and comprises the steps of: determining operating mode being either a pass-through mode or a cache mode, based on estimated resource usage for each of the pass-through mode and the cache mode; receiving a read request from the data requester; when the data provider is in the pass-through mode, transmitting a corresponding read request to the source device and forwarding a read response from the source device to the data requester; when the data provider is in the cache mode, retrieving device data from storage of the data provider and transmitting a read response to the data requester, the read response comprising the device data from storage; and populating the storage of the data provider with device data received from the source device.

Abstract: A method and a system are presented for enabling coordinated executions of actions in a distributed computing system with untrusted local computing agents. A smart contract including plans is recorded in a blockchain database. Each plan includes actions to be executed by a respective one of the local computing agents. Execution of a first action of a first set of actions to be executed by a first local computing agent is requested. Execution of a second action of a second set of actions to be executed by a second local computing agent is requested. Responsive to determining, based on the smart contract, that the first action can be executed, the first local computing agent is caused to execute the first action and responsive to determining, based on the smart contract, that the second action cannot be executed, the second local computing agent is caused to not execute the second action.