Abstract: Embodiments herein disclose a method for facilitating a privacy-aware representation in a system. The method comprises determining using a content analyzer a layout of a scene. Thereafter, one or more objects in the scene is identified using the content analyzer to define a relationship between the objects. A privacy status to be tagged to the one or more identified objects is inferred by using a machine learning model. At least one object is processed based on the privacy status inferred. A privacy-aware representation of the scene is rendered, wherein the privacy-aware representation displays the scene with at least one processed object.

Abstract: A method for providing data to a destination node connected to one or more source nodes via one or more networks. In one aspect, the method is performed by a feature identifier for selecting at least one feature from a set of features. The set of features comprises a first feature and a second feature. The method includes, for each feature included in the set of features, obtaining a value indicating a cost of providing the data set for the feature from a source node that stores the data set to a destination node that is connected to the source node via a network. The method also includes, based on the obtained values, selecting a subset of the set of features. The method further includes for each selected feature, initiating the transmission of the respective data set for the respective selected feature from a source node to the destination node. The destination node may execute a machine learning process that is operable to use the respective data sets to produce a model.

Abstract: A wireless device, network node and network management node are disclosed. The wireless device, network node and management node may cooperate to facilitate monitoring of the wireless device and detection of an incident involving a user of the wireless device. The wireless device is operable to connect to a network and comprises processing circuitry configured to cause the wireless device to enter an enhanced monitoring mode, receive, from a network node, configuration information specifying a measuring configuration for measuring signal strength, and measure signal strength in accordance with the received configuration information.

Abstract: Embodiments herein disclose a method for facilitating a privacy-aware representation in a system. The method comprises determining using a content analyzer a layout of a scene. Thereafter, one or more objects in the scene is identified using the content analyzer to define a relationship between the objects. A privacy status to be tagged to the one or more identified objects is inferred by using a machine learning model. At least one object is processed based on the privacy status inferred. A privacy-aware representation of the scene is rendered, wherein the privacy-aware representation displays the scene with at least one processed object.

Abstract: A user terminal emulation server provides communication services through input and/or output (I/O) user devices to a user. The user terminal emulation server is configured to register the user with a network entity providing the communication services, and predict that an I/O user device will become proximately located to the user. Based on the prediction that the I/O user device will become proximately located to the user, the user terminal emulation server determines that the I/O user device has an I/O user interface that satisfies a capability criterion to enable the user to use a first one of the communication services. Based on the satisfaction of the capability criterion and before the user is predicted to become proximately located to the I/O user device, the user terminal emulation server signals the I/O user device to prepare for using the I/O user interface to provide the first communication service.

Abstract: A user terminal emulation server for providing a communication service through one or more input and/or output (I/O) user devices to a user. The user terminal emulation server is configured to register user information with a network entity providing the communication service, and predict likelihood the user will become proximately located to an I/O user device. The user terminal emulation server is further configured to determine discontinuous reception (DRX) settings based on the predicted likelihood the user will become proximately located to the I/O user device, and to configure the I/O user device to use the DRX settings for receiving downlink radio communications from a radio access network (RAN) which are related to the communication service. Related methods and computer program products are disclosed.

Abstract: A method of operating a protection node for protecting a pattern classification node from malicious requests may be provided. The protection node may receive, from a user node, a request containing an original pattern to be classified by a machine learning algorithm performed by the pattern classification node. The protection node may add noise to the original pattern to generate a noisy pattern. The protection node may obtain a first classification of the noisy pattern based on processing of the noisy pattern by a first clone of the machine learning algorithm at the protection node; obtain a second classification of the original pattern based forwarding the request for processing of the original pattern by the machine learning algorithm performed at the pattern classification node; and compare the first and second classifications to determine whether the first and second classifications satisfy a defined similarity rule. The protection node may use the comparison to manage the request from the user node.

Abstract: A computer implemented method of managing power control in a communication system includes generating a graph representation of interdependencies of components of the communication system, wherein the graph representation includes graph nodes corresponding to the components of the communication system and edges between pairs of graph nodes representing dependency relationships between the pairs of nodes. The method generates edge weights for the edges of the graph representation that correspond to the relative importance of the dependency relationship represented by the edge weight, and generates a policy for managing power control by determining an order for switching the components of the communication system on or off based on the edge weights.

Abstract: A first communications device (121) for detecting disturbing sound (101) is provided, operative to acquire a first representation of sound audible in a surrounding (120) of the first communications device, acquire, from second communications devices (111-114) which are spatially separated from the first communications device, second representations of sounds audible in the surroundings (110) of the second communications devices, and determine at least one second representation of sound which represents the same sound originating from the same source of sound.

Abstract: There is provided a method comprising: acquiring (110) data associated with the routes of mobile communication devices; determining (120) a subset of mobile communication devices which share a same route for a given amount of time; determining (130) base stations located along the shared route; estimating (140) points of time at which the subset of mobile communication devices are in coverage areas of respective base stations; determining (150) an amount of required processing resources at the base stations and/or at the subset of mobile communication devices; and generating (160) a schedule for a plurality of federated learning tasks to be performed, based on priority levels associated with the federated learning tasks, estimated points of time at which the subset of mobile communication devices are in coverage areas of the base stations, and the amount of required processing resources at the base stations and/or at the subset of mobile communication devices.

Abstract: Methods and systems automatically protect radio network equipment in extreme weather conditions such as sand-storms or snow-storms. A pair of phase-shift material grids having different orientations is installed at an air intake of the radio network equipment. One of the grids is powered to open or close the air intake according to a current amount of air-carried particles entering the radio network equipment and a temperature inside the radio network equipment. The current amount of air-carried particles entering the radio network equipment may be detected by a piezoelectric sensor.

Abstract: A first communications device (121) for detecting disturbing sound (101) is provided, operative to acquire a first representation of sound audible in a surrounding (120) of the first communications device, acquire, from second communications devices (111-114) which are spatially separated from the first communications device, second representations of sounds audible in the surroundings (110) of the second communications devices, and determine at least one second representation of sound which represents the same sound originating from the same source of sound.

Abstract: A method for providing data to a destination node connected to one or more source nodes via one or more networks. In one aspect, the method is performed by a feature identifier for selecting at least one feature from a set of features. The set of features comprises a first feature and a second feature. The method includes, for each feature included in the set of features, obtaining a value indicating a cost of providing the data set for the feature from a source node that stores the data set to a destination node that is connected to the source node via a network. The method also includes, based on the obtained values, selecting a subset of the set of features. The method further includes for each selected feature, initiating the transmission of the respective data set for the respective selected feature from a source node to the destination node. The destination node may execute a machine learning process that is operable to use the respective data sets to produce a model.

Abstract: A wireless device, network node and network management node are disclosed. The wireless device, network node and management node may cooperate to facilitate monitoring of the wireless device and detection of an incident involving a user of the wireless device. The wireless device is operable to connect to a network and comprises processing circuitry configured to cause the wireless device to enter an enhanced monitoring mode, receive, from a network node, configuration information specifying a measuring configuration for measuring signal strength, and measure signal strength in accordance with the received configuration information.

Abstract: A method of operating a protection node for protecting a pattern classification node from malicious requests may be provided. The protection node may receive, from a user node, a request containing an original pattern to be classified by a machine learning algorithm performed by the pattern classification node. The protection node may add noise to the original pattern to generate a noisy pattern. The protection node may obtain a first classification of the noisy pattern based on processing of the noisy pattern by a first clone of the machine learning algorithm at the protection node; obtain a second classification of the original pattern based forwarding the request for processing of the original pattern by the machine learning algorithm performed at the pattern classification node; and compare the first and second classifications to determine whether the first and second classifications satisfy a defined similarity rule. The protection node may use the comparison to manage the request from the user node.

Abstract: A method and radio base station for handling a power disturbance caused by a radio unit of the radio base station. The method comprises: obtaining scheduling information of data traffic associated with the RU; comparing the power disturbance with one or more first thresholds, wherein the power disturbance is caused by the RU adapted to handle the data traffic according to the scheduling information; and adjusting a switching frequency of a direct current to direct current, DC/DC, converter based on the comparison, wherein the DC/DC converter is comprised in the RU to power the RU.

Abstract: A method performed by a network node for handling one or more upcoming requests for one or more services from a communication device in a communications network using a cloud infrastructure is provided. The network node obtains (301) a prediction of an amount of instances needed for the one or more upcoming requests for the one or more services, based on historical data of previous requests for services, and obtains (304) network connections needed for the one or more upcoming requests for the one or more services, taking the prediction into account. Furthermore, the network node decides (307) to instantiate a service with the obtained network connections and/or the amount of instances as predicted.

Abstract: A method and radio base station for handling a power disturbance caused by a radio unit of the radio base station. The method comprises: obtaining scheduling information of data traffic associated with the RU; comparing the power disturbance with one or more first thresholds, wherein the power disturbance is caused by the RU adapted to handle the data traffic according to the scheduling information; and adjusting a switching frequency of a direct current to direct current, DC/DC, converter based on the comparison, wherein the DC/DC converter is comprised in the RU to power the RU.

Abstract: A method performed by a technician allocation system for allocating a field technician is provided. The technician allocation system identifies features f_1 . . . f_(n) of a received new work order to be executed. The technician allocation system then obtains a similarity score for the identified features f_1 . . . f_n, wherein the similarity score is related to how similar the new work order is to previously executed old work orders with respect to the identified features. The technician allocation system also obtains a field technician experience score for the identified features f_1 . . . f_n. The technician allocation system then matches the field technician candidates with the features f_1 . . . f_n for the new work order based on the obtained field technician experience scores and the similarity scores.

Abstract: Methods and systems automatically protect radio network equipment in extreme weather conditions such as sand-storms or snow-storms. A pair of phase-shift material grids having different orientations is installed at an air intake of the radio network equipment. One of the grids is powered to open or close the air intake according to a current amount of air-carried particles entering the radio network equipment and a temperature inside the radio network equipment. The current amount of air-carried particles entering the radio network equipment may be detected by a piezoelectric sensor.