Abstract:
A method, performed by a transmitting node of a neural network, is provided for congestion level control. The method comprises: sending, to a receiving node of the neural network, a plurality of sequences of data, wherein the sequences of data are 5temporally encoded according to an encoding configuration; sending, to the receiving node, an indication of the encoding configuration, enabling the sequences of data to be decoded; receiving, from the receiving node, feedback comprising an indication of an error experienced in decoding the sequences of data; and adapting the encoding configuration based on the feedback.
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:
A method in a cellular mobile packet data network is provided composed of four main steps. These are capturing raw traffic traces over standardized interfaces of an operational cellular mobile data network, parsing through the traces in order to extract and correlate all the information, which is needed to build a traffic and session database, defining a set of appropriate key performance indicators, and calculating the above defined key performance indicators. A system in a mobile data network is also provided, the key element of which is a traffic and session database, which correlates traffic and mobility information extracted from passively captured traces collected from standardized interfaces. A set of key performance indicators describing the true, user perceived end-to-end quality of the most commonly used applications is also listed.
Abstract:
Disclosed is a technique of determining a measure of proximity between two devices (4, 6). A method implementation of the technique comprises obtaining a first device signature comprising an indication of a first point in time and a first parameter characteristic of a first measurement performed by a first sensor (10) comprised in the first device (4); obtaining a second device signature comprising an indication of a second point in time and a second parameter characteristic of a second measurement performed by a second sensor (12) comprised in the second device (6); and determining, based on the first device signature and the second device signature, the measure of proximity between the first device (4) and the second device (6).
Abstract:
A technique for calibrating a positioning system comprising a plurality of anchor nodes used to determine tag positions within a localization area using radio technology is disclosed. A method implementation of the technique is performed using a measurement device comprising at least one odometry sensor and a localization tag configured to communicate with the plurality of anchor nodes using the radio technology. The method comprises performing (S202), at a plurality of first measurement points in the localization area using the localization tag, first ranging measurements with respect to the plurality of anchor nodes using the radio technology to determine respective first distances from the measurement device to the plurality of anchor nodes and performing, at the plurality of first measurement points using the at least one odometry sensor, first odometry measurements to estimate respective first positions of the measurement device in the localization area, estimating (S204) locations of the plurality of anchor nodes based on the respective first distances determined by the first ranging measurements and the respective first positions estimated by the first odometry measurements, and configuring (S206) the positioning system with the estimated locations of the plurality of anchor nodes to calibrate the positioning system.
Abstract:
A technique for monitoring a distributed computing system is described. A method aspect of this technique comprises receiving, from one or more hosts of the computing system, multiple identifiers of output messages, each identifier identifying an output message that has been defined by a process executed on the respective host, receiving, together with each identifier of an output message, an identifier of an input message which has been received by the respective process and based at least partly on which the output message has been defined by the process, and determining whether the identifier of the first output message and the identifier of an input message which is received together with the identifier of the second output message indicate that the second output message has been defined at least partly based on the first output message. The method further comprises, if it is indicated that the second output message has been defined at least partly based on the first output message, storing an indicator of the first process and the second process as being successive elements of a process chain within the computing system. Further described are a controller, a computing device, a computer program product, and a storage medium.
Abstract:
Operating an infrastructure resource of a communication network comprising processing and memory resources, comprising providing an infrastructure functionality; providing a data collection functionality for collecting data related to said infrastructure functionality, and providing a data sharing functionality for sharing the collected data with another infrastructure resource of said communication network.
Abstract:
A method is provided in a network management node (110) for handling an alarm caused by a fault in a communications system (100). An alarm caused by a fault in the communications system (100) is received (401 ) from a first network element (130) within the communications system (100). The alarm is associated with an identity of the first network element (130), and an alarm time associated with the time when the alarm was active. After receiving the alarm, the network management node sends (402) a request to a user activity database (170), requesting one or more matching records. Each of the matching records is requested to comprise an identity equal to the identity of the first network element (130) associated with the alarm, and a record time period that comprises the time when the alarm was active. The network management node receives (403) one or more matching records from the user activity database (170), which one or more matching user session records identify the user sessions being affected by the alarm, and then handles (408) the alarm based on the one or more matching user session records.
Abstract:
The idea of the present invention providing a solution for configuration problems of a node is based on the following components. A problem recognition system, which analyses performance indicators and identifies root causes, so that signatures can be attached to a found problems. Furthermore there is a signature based filtering system, which looks for transactions satisfying signatures. A customer identification system labels the transactions with the subsriber identify. A solution feedback system generates feedback event to the end node according to the rule of the signature.
Abstract:
A technique for assessing connection quality in a wireless communication network is disclosed. A method implementation of the technique comprises obtaining (S202) 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 (S204), 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.