Abstract: There is provided a method comprising: acquiring (110) sensor data related to an object; using the first learning module, identifying (120) the object based on the acquired sensor data using a first learning module and determining (130) a user associated with the identified object; determining (140) a timestamped location of the object based on at least one of the acquired sensor data and one or more locations of the one or more sensors; performing (150) a first analysis to determine whether the current status of the object contains an anomaly based on one or more predefined rules stored in a knowledge base; performing (160) a second analysis to determine whether the current status of the object contains an anomaly, using a second learning module; and validating (170) whether the current status of the object contains an anomaly based on results of the first analysis and results of the second analysis.

Abstract: The present disclosure relates to methods and devices (101, 106) of controlling reactive power of a power grid. In an aspect, a method of a radio base station (101) of controlling reactive power of a power grid is provided. The method comprises measuring (S101) an electrical property indicating a level of the reactive power supplied by the power grid to which the radio base station (101) is connected, and performing (S102) an action to stabilize the level of the reactive power of the power grid upon the measured electrical property reaching a certain value.

Abstract: The present disclosure relates to a method of controlling allocation of mobile devices (12-23) to frequency bands in a radio site (10), and a device (11) performing the method. In an aspect, a method of a radio base station (11) of controlling allocation of mobile devices (12-23) to frequency bands in a radio site (10) is provided. The method comprises estimating (S101) power consumption of the radio base station (11) caused by radio traffic of the mobile devices (12-23) in each frequency band of the radio site (10), determining (S102) whether or not power consumption of the radio base station (11) is decreased by reallocating at least one of the mobile devices (12-23) from one frequency band to another frequency band, while not exceeding a power headroom limit of said another frequency band, and if so reallocating (S103) said at least one mobile device from said one frequency band to said another frequency band.

Abstract: A method for solving a sequential decision-making problem is provided. The method includes gathering state-action pair data from an expert policy; applying imitation learning to yield a cloned policy based on the gathered state-action pair data from the expert policy; and applying a reinforcement learning technique, wherein the reinforcement learning technique is initialized based on the cloned policy and has an output with one or more action to be performed for solving the sequential decision-making problem.

Abstract: Embodiments herein disclose, e.g., a method performed by a control network node in a communications network for handling machine learning (ML) models in the communications network. The control network node determines whether or not to transmit to a network node in the communications network a ML model based on a signature and/or a loss value of the network node, wherein the signature and/or the loss value is related to ML modelling. In case where it is determined to transmit, the control network node transmits the ML model to the network node.

Abstract: A method of detecting a defect in a connecting member of a radio unit in a radio site includes applying an artificial radio traffic load to a first radio unit and at least a second radio unit, such that the radio traffic load experienced by the first and the second radio unit is at a same level, measuring power supplied to the first radio unit via a first connecting member and power supplied to the second radio unit via a second connecting member at an end of each connecting member terminating at a device configured to supply power to the radio units, and determining from the measured power and an expected nominal power loss of the first and the second connecting member if there is power loss in at least one of the first and the second connecting member indicating a defect.

Abstract: A method and detector for detecting anomalies among media event sequences are disclosed. One method includes obtaining a first profile of media event data over a first time period, where the first profile is a first distribution of different media event sequences. Each sequence is associated with a number of occurrences of the sequence and the first profile having a first profile vector. The method further includes obtaining a second profile of media event data over a second time period less than the first time period. The second profile is a second distribution of the different media sequences and the second profile having a second profile vector. The method also includes comparing the first profile vector and the second profile vector, and determining one of a presence and absence of at least one anomaly in the second profile vector of media event data based on the comparison.

Abstract: A method and a communication device (200) for controlling reception of data when a maximum total amount of received data is stipulated for a time period. An amount of data received during said time period is monitored (2:5) and compared with a predicted distribution of data (200A) that the device (200) is expected to receive without exceeding the maximum total amount. An amount of requested data is then reduced (2:6, 2:7) when detecting that the monitored amount of received data exceeds the predicted distribution of data, so that the maximum total amount of data will not be exceeded before the time period expires.

Abstract: A method and a migration managing module for managing a migration of a service. The migration managing module determines a point in time relating to completion of the migration of the service based on resource requirements related to the service. For each radio network node a respective impact on a quality of the service is estimated. Moreover, the migration managing module selects from among servers at least one respective target server for which the respective server location measure of said at least one respective target server matches the respective radio network node location measure of said each radio network node, thereby obtaining a set of target servers comprising said at least one respective target server for said each radio network node. For each target server, a respective cost of the migration based on the resource requirements related to the service is determined. A respective tendency as a function of said each probability value, the respective cost and the respective impact is determined.

Abstract: A method and detector for detecting anomalies among media event sequences are disclosed. One method includes obtaining a first profile of media event data over a first time period, where the first profile is a first distribution of different media event sequences. Each sequence is associated with a number of occurrences of the sequence and the first profile having a first profile vector. The method further includes obtaining a second profile of media event data over a second time period less than the first time period. The second profile is a second distribution of the different media sequences and the second profile having a second profile vector. The method also includes comparing the first profile vector and the second profile vector, and determining one of a presence and absence of at least one anomaly in the second profile vector of media event data based on the comparison.

Abstract: A method and a migration managing module for managing a migration of a service. The migration managing module determines a point in time relating to completion of the migration of the service based on resource requirements related to the service. For each radio network node a respective impact on a quality of the service is estimated. Moreover, the migration managing module selects from among servers at least one respective target server for which the respective server location measure of said at least one respective target server matches the respective radio network node location measure of said each radio network node, thereby obtaining a set of target servers comprising said at least one respective target server for said each radio network node. For each target server, a respective cost of the migration based on the resource requirements related to the service is determined. A respective tendency as a function of said each probability value, the respective cost and the respective impact is determined.