Abstract: The correlation of per-session network logs with trouble reports provided by the users/user devices via a trouble reporting app generates labeled training information used to train Machine Learning (ML) models that are subsequently used to infer, explain, and address service issues associated with an application service session. As such, the level of automation for Quality of Experience (QoE) management increases, while the accuracy of such QoE management increases and a subscriber's experience improves.

Abstract: Calibrating a positioning system comprising a plurality of anchor nodes used to determine tag positions within a localization area using radio technology.

Abstract: Embodiments herein relate to, for example, a method performed by a UE for handling positioning of the UE in a wireless communication network. The UE measures a CIR of a signal from a radio network node; and initiates a process for determining whether the UE is indoors or outdoors using an ML model with the measured CIR as input.

Abstract: A technique for assessing connection quality in a wireless communication network is disclosed. A method implementation of the technique includes obtaining a radio frequency, RF, channel response measurement indicative of a channel gain in time and frequency observed at a location covered by the wireless communication network, and determining, based on the RF channel response measurement, an estimated connection quality at the location using a machine learning model trained to map RF channel response measurement based features to corresponding connection qualities.

Abstract: A technique for predicting radio quality in a wireless communication network depending on assumed positions of one or more base stations in an area to be covered by the wireless communication network is disclosed. A method implementation of the technique is performed by a computing unit and comprises the steps of determining, for a selected position in the area with respect to assumed positions of the one or more base stations, blocking object features indicative of a spatial pattern of blocking objects present in fields of view between the selected position and the assumed positions of the one or more base stations, and determining, based on the determined blocking object features, a predicted radio quality at the selected position using a machine learning model trained to map blocking object features for selected positions with respect to one or more base station positions to corresponding radio qualities at the selected positions.

Abstract: Methods and apparatus for root cause analysis. A method includes obtaining measurement data including measurements data of features of a system. The method further includes generating a prediction value by applying a trained machine learning model to the measurement data, and also generating feature impact values by applying a generated machine learning model explainer to the measurement data. The method further includes updating an ontological representation of connections between the features of the system and the prediction value using the generated feature impact values and, based on the updated ontological representation, outputting a proposed root cause that is responsible for the prediction value.

Abstract: The correlation of per-session network logs with trouble reports provided by the users/user devices via a trouble reporting app generates labeled training information used to train Machine Learning (ML) models that are subsequently used to infer, explain, and address service issues associated with an application service session. As such, the level of automation for Quality of Experience (QoE) management increases, while the accuracy of such QoE management increases and a subscriber's experience improves.

Abstract: There is provided a method for assessing network performance. The method includes acquiring network measurements indicative of any changes in a network following a change to a configuration of the network and data indicative of one or more factors capable of causing the changes in the network. The one or more factors are independent of the change to the configuration of the network. The method includes analysing the acquired network measurements and data to identify a contribution of the one or more factors to a key performance indicator (KPI) and a contribution of the change to the configuration of the network to the KPI. The KPI is predicted by a machine learning model and is a measure of the network performance following the change to the configuration of the network.

Abstract: The disclosure provides a method for estimating channel quality in a wireless network. The method comprises: obtaining information relating to a channel quality for a first time period, as measured by a wireless node located in an environment comprising one or more machines having mechanical parts which are movable in a periodic pattern; and providing the information as an input to a predictive model, developed using a machine-learning algorithm, to obtain a predicted channel quality in the environment for a second, subsequent time period.

Abstract: The present disclosure relates an evacuation management system, EMS, (40, 52, 60, 00, 200) operative to provide real-time evacuation information for evacuation of a building, triggered by alarm notification (S202). Based on determined (S214) precise real-time positions of personal ultra-wide band, UWB, devices, as determined by UWB real-time localization system, RTLS, a controller determines (S210) evacuation plans being personal UWB device specific in real-time. Based on individual evacuation plans and input from building facilities, real-time guidance information is defined (S208) and sent to each personal UWB device, providing guidance to person carrying said personal UWB device, in what direction to move (S212), to reach a safe area. Based on localization signals the UWB RTLSA then calculates updated positions of the personal UWB devices and sends to the evacuation management system. It is an advantage that trapped or injured people can be found, even in low visibility areas.

Abstract: An anchor system for a location system tracks a location of a tag device mounted to a mobile entity using a plurality of anchor devices. The anchor system comprises an anchor cable, a first anchor device affixed to the anchor cable, one or more second anchor devices affixed to the anchor cable, and a power supply circuit. Each of the second anchor device(s) is spaced from the first anchor device along a length of the anchor cable by a predetermined distance. The power supply circuit is operatively connected to the anchor cable and is configured to supply power to each of the anchor devices via the anchor cable. Each of the anchor devices is configured to wirelessly communicate with the tag device, e.g., which enables a remote network of processors in communication with the anchor devices to determine location data for the tag device.

Abstract: A technique for assessing positioning qualities within a localization area of a positioning system comprising a plurality of anchor nodes for determining positions of tag devices within the localization area using radio technology is disclosed. A method implementation of the technique comprises determining (S202) a positioning deviation between an absolute position of a tag device and a relative position of the tag device, the absolute position of the tag device being determined by the positioning system using the plurality of anchor nodes and the relative position of the tag device being determined based on movement related measurements performed by the tag device relative to a previously determined absolute position of the tag device, and assessing (S204) a positioning quality for the absolute position based on the determined positioning deviation.

Abstract: A technique for updating a positioning configuration in a positioning system comprising a plurality of anchor nodes for determining positions of tag devices within a localization area using radio technology is disclosed. A method implementation of the technique comprises determining (S202) an updated positioning configuration for at least one of a set of tag devices and a set of anchor nodes of the positioning system based on predefined positioning requirements that depend on a zone of the localization area in which the set of tag devices is currently located, and applying (S204) the updated positioning configuration to the at least one of the set of tag devices and the set of anchor nodes.

Abstract: A technique for determining a relative position of a preceding vehicle with respect to a succeeding vehicle in a vehicle platoon is disclosed, wherein the succeeding vehicle comprises at least two front tags and the preceding vehicle comprises at least two back tags, the front and back tags being configured to perform ranging measurements among each other using radio technology. A method implementation of the technique comprises determining (S202) pairwise distances between the front and back tags using ranging measurements performed by the front and back tags using the radio technology, and determining (S204) the relative position of the preceding vehicle with respect to the succeeding vehicle based on the determined pairwise distances.

Abstract: We generally describe a collision prevention system (100) comprising: a localization system (402) for determining positions of an autonomous vehicle (104) and a human (106); and a collision determination unit (404) coupled to or in communication with the localization system (402), wherein the collision determination unit (404) is configured to determine, based on the determined positions of the autonomous vehicle (104) and the human (106), whether a predefined condition for an anticipated collision of the autonomous vehicle (104) with the human (106) is met; wherein the collision prevention system (100) is configured to: lock the autonomous vehicle (104) if the predefined condition is met; alert the human (106) for whom the predefined condition for colliding with the autonomous vehicle (104) is met; and allow unlocking of the autonomous vehicle (104) to be performed or initialized by the alerted human (106) only.

Abstract: A technique for locating a target tag (110) using a short range radio based positioning system comprising a plurality of localization components (120) is provided, wherein the target tag (110) and the plurality of localization components (120) are configured to perform ranging measurements among each other using short range radio technology. A method implementation of the technique is performed by an orchestration component (100) of the positioning system and comprises sending, using long range radio technology, a ranging plan to the target tag (110) and one or more of the plurality of localization components (120), the ranging plan instructing the target tag (110) and the one or more of the plurality of localization components (120) to perform, using the short range radio technology, ranging measurements among each other enabling to locate the target tag (110).

Abstract: Calibrating a positioning system comprising a plurality of anchor nodes used to determine tag positions within a localization area using radio technology.

Abstract: An anchor system for a location system tracks a location of a tag device mounted to a mobile entity using a plurality of anchor devices. The anchor system comprises an anchor cable, a first anchor device affixed to the anchor cable, one or more second anchor devices affixed to the anchor cable, and a power supply circuit. Each of the second anchor device(s) is spaced from the first anchor device along a length of the anchor cable by a predetermined distance. The power supply circuit is operatively connected to the anchor cable and is configured to supply power to each of the anchor devices via the anchor cable. Each of the anchor devices is configured to wirelessly communicate with the tag device, e.g., which enables a remote network of processors in communication with the anchor devices to determine location data for the tag device.

Abstract: A mobile tag for an ultra-wide band (UWB) positioning system, and related devices. The UWB positioning system includes mobile tags, stationary anchors, and a central positioning entity. The mobile tag is a first mobile tag configured to acquire positioning information that depends on a relative position between the first mobile tag and a second mobile tag. The first mobile tag is further configured to transmit the acquired positioning information to another device of the UWB system, such as a stationary anchor or a third mobile tag.

Abstract: The present disclosure relates an evacuation management system, EMS, (40, 52, 60, 00, 200) operative to provide real-time evacuation information for evacuation of a building, triggered by alarm notification (S202). Based on determined (S214) precise real-time positions of personal ultra-wide band, UWB, devices, as determined by UWB real-time localization system, RTLS, a controller determines (S210) evacuation plans being personal UWB device specific in real-time. Based on individual evacuation plans and input from building facilities, real-time guidance information is defined (S208) and sent to each personal UWB device, providing guidance to person carrying said personal UWB device, in what direction to move (S212), to reach a safe area. Based on localization signals the UWB RTLSA then calculates updated positions of the personal UWB devices and sends to the evacuation management system. It is an advantage that trapped or injured people can be found, even in low visibility areas.