Abstract: The dynamically generation and evaluation of User Activity Records (UARs) is presented herein to determine which UARs to forward for analytics processing, and how much information to include with the forwarded UARs. To that end, UARs are identified as normal, e.g., those UARs satisfy an evaluation condition, e.g., a threshold condition, and or as abnormal, e.g., those UARs that do not satisfy an evaluation condition, e.g., the threshold condition. For those UARS identified as normal, only a small subset of the normal UARs are forwarded for further analysis to reduce the data volume associated with these normal UARs. For those UARs identified as abnormal, enrichment data is appended to the generated UAR to generate a detailed UAR, all which is forwarded for further analysis.

Abstract: A technique for analyzing Quality of Experience, QoE, of a delay critical robotic application in a cloud robotics system is disclosed, the robotic application involving use of a cloud based service by a robot, the service being provided to the robot from a cloud using a connection over a mobile communication network. A method implementation of the technique comprises triggering (S202) determining whether a QoE measure associated with the robotic application exceeds a threshold to assess whether QoE degradation is present, and, when it is determined that QoE degradation is present, triggering (S204) identifying a root cause for the QoE degradation based on one or more performance indicators observed within the mobile communication network and associated with the connection.

Abstract: A technique of triggering one or more congestion mitigation actions in a communication network is presented. The communication network comprises a core network domain and a cellular RAN domain having an O-RAN architecture. A method implementation comprises evaluating a temporal behavior of at least one congestion indicator for individual cells in the RAN domain to identify one or more candidate cells that are prone to suffering from congestion. The method also comprises correlating, for at least one of the one or more candidate cells, session-related information from the core network domain with RAN information from the RAN domain to derive at least one quality indicator for the at least one candidate cell. Further, the method comprises triggering, dependent on the at least one quality indicator derived for the at least candidate cell, one or more congestion mitigation actions.

Abstract: A technique of setting one or more decision thresholds of a network analytics system is presented. The analytics system is configured to analyze statistics pertaining to a service quality-related (SQR) parameter acquired for a communication network and statistics pertaining to a root cause-related (RCR) parameter acquired for the communication network, wherein the SQR parameter correlates with the RCR parameter. A first parameter is defined to be one of the SQR parameter and the RCR parameter and a second parameter is defined to be the other of the SQR parameter and the RCR parameter. A method realization of the technique presented herein comprises obtaining first statistics for the first parameter in situations in which the second parameter assumes critical second parameter values, and obtaining second statistics for the first parameter in situations in which the second parameter assumes non-critical second parameter values.

Abstract: A mobile network analytics system (30) for improving or enhancing the service quality of communications for Unmanned Aerial Vehicles (UAVs) (50) operating in a mobile communications network is provided herein. The system collects service quality information (e.g., service type and related Key Performance indicators (KPIs)) for the different services used by the UAVs. The system also collects the altitudes of the UAVs providing the service quality information. Based on this information, the system estimates the service quality for a given 3-Dimensional (3D) area of space (60, 62) as a function of the 3D location of the UAVs (i.e., latitude, longitude, and altitude of the UAVs). The determined service quality is provided to a UAV flight control system (40) to facilitate the dynamic optimization of a given UAV's flight path, thereby improving the service quality of communications for the given UAV.

Abstract: An analytics system performs a high-altitude overshoot detection procedure and a terrestrial overshoot detection procedure. The analytics system detects a plurality of overshooting events occurring within a communication network. Each overshooting event is detected by either the high-altitude overshoot detection procedure or the terrestrial overshoot detection procedure. Responsive to a base station within the communication network being associated with more than a threshold number of the overshooting events, the analytics system configures the base station to use a previous antenna tilt that produced overshooting events at a lower rate relative to a current antenna tilt of the base station.

Abstract: An apparatus for user plane traffic quality analysis in a wireless communication network. The apparatus includes an interface configured to be coupled to a user plane probe arranged on a bidirectional user plane traffic flow path of user plane traffic flowing through the wireless communication network between a first terminal and a second terminal of the wireless communication network, and an estimation unit coupled to the interface.

Abstract: An apparatus for parameter transformation between a robotic device and a controller for the robotic device is presented. The apparatus is configured to receive at least one non-transformed parameter indicative of at least one of a position and a velocity of or for the robotic device, wherein the non-transformed parameter is received from the robotic device or the controller, respectively. The apparatus is further configured to transform the received non-transformed parameter to a transformed parameter using a transformation between an ideal parameter domain of the controller and a real parameter domain of the robotic device, the ideal parameter domain including ideal parameters processable by the controller and the real parameter domain including real parameters measurable at the robotic device and capable of deviating from the associated ideal parameters.

Abstract: A network node is configured for use in a communication network. The network node determines whether or not user plane traffic for a subscription to the communication network is to be processed for generating analytics. The network node then allocates a tunnel endpoint identifier, to identify an endpoint of a tunnel through which the user plane traffic for the subscription is to be communicated, based on whether or not the user plane traffic for the subscription is to be processed for generating analytics according to the determination.

Abstract: A method for monitoring a communication network comprises monitoring user plane information and control plane information for a first session provided by the communication network for a first wireless device; and correlating the user plane information and the control plane information to determine if the first session was ended due to a soft drop, wherein a soft drop corresponds to a user of the wireless device intentionally terminating the first session due to service quality issues.

Abstract: The present disclosure is directed to a technique for determining subscription identifiers for subscriber monitoring in a communication network. A plurality of data sets is provided and each data set associates, for a particular subscriber activity in the communication network, a subscription identifier with one or more activity-related attributes each having a dedicated attribute value. A method implementation includes processing the data sets to generate subscriber profiles, wherein each subscriber profile associates a subscription identifier with, for at least a first attribute, an attribute value or an attribute value distribution as derived from the data sets associated with the subscription identifier. The method further includes generating, from the subscriber profiles, attribute distribution statistics indicative of an occurrence of attribute values for at least the first attribute across the subscribers for which data sets have been processed.

Abstract: A data analytics system for mobile networks includes a data loss detection unit that detects data loss from one or more data sources and estimates the correct sample size of KPIs in a lossless system based on statistical analysis. In case of data loss, the data loss detection unit generates an alarm to a fault manager system and provides detailed loss report to the system administrator, in order to identify the root cause and fix the issue. Additionally, the data loss detection unit estimates of the correct KPI sample sizes for the data sources and sends the correct sample sizes to a data analytics component, where the corrected sample sizes can be taken into account in the affected analytics functions.

Abstract: We generally describe an apparatus (200, 300) for user plane traffic quality analysis in a wireless communication network, the apparatus (200, 300) comprising: an interface configured to be coupled to a user plane probe (214) arranged on a bidirectional user plane traffic flow path of user plane traffic flowing through the wireless communication network between a first terminal (202) and a second terminal (204) of the wireless communication network, and an estimation unit (706) coupled to the interface, wherein the estimation unit (706) is configured to estimate, based on a probing, by the user plane probe (214), of the user plane traffic flowing in a first direction (304) in a first segment (301) of the user plane traffic flow path from the first terminal (202) to the user plane probe (214), a user plane traffic quality of the user plane traffic flowing in a second direction (310) in the first segment (301) from the user plane probe (214) to the first terminal (202), wherein the first direction (304) is oppo

Abstract: We generally describe a method for generating key performance indicator data for network monitoring in a mobile telecommunication network. The method includes providing, relative to an event in the mobile telecommunication network, one or both of a first priority value of a key performance indicator and a second priority value of a key performance indicator dimension. The method further includes determining, based on one or both of the first priority value and the second priority value, whether to generate the key performance indicator data for the network monitoring in the mobile telecommunication network.

Abstract: Methods, apparatuses and systems performed and configured to operate in a wireless communication network are presented. In example implementations, the methods, apparatuses and systems are configured for use in a conditional handover for a user equipment in the wireless communication network. Based on a known first location of the user equipment in a first cell of the wireless communication network at a first point in time, a second location of the user equipment at a second point in time is predicted. The prediction is based on applying a movement prediction to the user equipment relative to the known first location at the first point in time. A probability for the second location to be located in at least one of the first cell and any one of one or more second cells in the wireless convocation network is thereby obtained. The one or more second cells are different from the first cell.

Abstract: Selecting a transport configuration for a data network adapted to transport data traffic belonging to different traffic types. A selecting device determines an actual traffic mix of traffic types and corresponding traffic loads transported on the data network. The device determines, based on the actual traffic mix, multiple future traffic mixes of traffic types and corresponding traffic loads, wherein the future traffic mixes are associated with probability values and classifiable into different future traffic mix classes, each future traffic mix class being associated with a predefined transport configuration capable of handling any future traffic mix falling in that future traffic mix class. The device is configured to aggregate the probability values associated with those future traffic mixes that belong to the same future traffic mix class and to select the transport configuration associated with the highest probability value across the aggregated and non-aggregated probability values.

Abstract: Wireless network cells are classified into groups based on radio and network conditions in the cells. Quality of Service, QoS, policy optimization is then performed per each classified cell group, by selecting more or less stringent predetermined rules until a target Quality of Experience, QoE, is met, at least for the highest priority traffic. To classify the cells into groups, the radio and network parameters collected (110) are ranked (112) by their influence on QoE. Based on this ranking, only a few of the most impactful parameter are selected (114). The range of values of each parameter is then divided (116) into a plurality of ranges, for example by the ability of the parameter, when within each range, to impact service quality. Cells are then classified (118) into groups based on the same parameters within the cells falling into the same value ranges. QoE targets for at least high priority traffic classes are obtained (120).

Abstract: User-specific network analytics for application data services provided to user equipment (UEs) in a wireless network is disclosed herein. User interaction for an application data service and captured by an overlay on the UE triggers network analytics. The wireless network filters or otherwise controls the network analytics performed by the network node responsive to the trigger. In so doing, the user-specific network analytics disclosed herein decreases the network functions and analytics load at the network, and enables the network to focus on specific events, which enables the network to establish and support specific application goals.

Abstract: A technique for performing Quality of Service, QoS, control regarding control messages communicated from a robot controller to a robot via a mobile communication network in a cloud robotics system is disclosed. A method implementation of the technique comprises triggering applying a mapping of control messages communicated from the robot controller to the robot to QoS classes among a plurality of data session related QoS classes supported by the mobile communication network for transmission of traffic via the mobile communication network, wherein each of the control messages is mapped to a respective QoS class depending on a Quality of Control, QoC, tolerance associated with the respective control message.

Abstract: Techniques for real-time encrypted over-the-top (OTT) data quality analysis are presented. For instance, the present disclosure includes an example method performed by a device in a recurrent neural network (RNN) implemented in a data communication system. The method includes periodically obtaining information corresponding to one or more OTT data sessions in the data communication system, the information being obtained from one or more of a packet probe, a test terminal, and a network node. The method also includes generating at least one quality metric associated with the one or more OTT data sessions based on the periodically obtained information. Related devices, processor and memory arrangements, methods, and computer programs are also presented.