Telefonaktiebolaget Lm Ericsson (publ)

Peter Vaderna

Tamas Borsos

András Veres

Zsófia Kallus

Péter Hága

Zsolt Kenesi

András Rácz

Mate Szebenyei

Szabolcs Malomsoky

Ferenc Kubinszky

István Gódor

László Hévizi

Gergely Szabó

Péter Kersch

Péter Benkõ

Icaro L J Da Silva

Yu Wang

Norbert Reider

Anders Landström

Gábor Magyar

László Toka

László Kovács

Bence Formanek

Ricardo Da Silva Souza

Péter Benkö

Xueying Hou

Mate Cserep

Péter Benkō

Bo Xu

Agnieszka Ziembla

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.

Technique for predicting radio quality

Embodiments herein relate to method performed by a radio network node for handling communication in a wireless communication network. The radio network node dynamically applies different muting patterns for muting an active component of one or more antenna branches of the radio network node and/or of one or more antenna panels of the radio network node, wherein the different muting patterns are associated with one or more types of physical channels used for communicating and/or a communication parameter related to one or more UEs. The radio network node performs a communication using the dynamically applied different muting patterns.

Radio network node, and method performed therein

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.

Network performance assessment

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 (S) 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 (S) a positioning quality for the absolute position based on the determined positioning deviation.

Technique for assessing positioning qualities

A technique for locating a target tag () using a short range radio based positioning system comprising a plurality of localization components () is provided, wherein the target tag () and the plurality of localization components () 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 () of the positioning system and comprises sending, using long range radio technology, a ranging plan to the target tag () and one or more of the plurality of localization components (), the ranging plan instructing the target tag () and the one or more of the plurality of localization components () to perform, using the short range radio technology, ranging measurements among each other enabling to locate the target tag ().

Technique for locating a target tag

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.

Correlating network data with instant app feedback for ML-based customer experience management

Calibrating a positioning system comprising a plurality of anchor nodes used to determine tag positions within a localization area using radio technology. The method includes performing, 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 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 calibrating the positioning system using the estimated locations of the plurality of anchor nodes.

Technique for calibrating a positioning system

The present disclosure relates an evacuation management system, EMS, () operative to provide real-time evacuation information for evacuation of a building, triggered by alarm notification (S). Based on determined (S) precise real-time positions of personal ultra-wide band, UWB, devices, as determined by UWB real-time localization system, RTLS, a controller determines (S) 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 (S) and sent to each personal UWB device, providing guidance to person carrying said personal UWB device, in what direction to move (S), 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.

Real-time managing evacuation of a building

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.

Real-time location system infrastructure for easy and quick deployment and configuration

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

Collision prevention system and method

The invention relates to method and system () for centrally controlling uplink streaming from a plurality of devices (D) to a server (S) for data processing. The method comprises to centrally measure (S) performance of data processing for providing a performance measurement result (r). The method continues to be executed on the device (D) by providing (D) a control instruction (ci), which is based on the performance measurement result (r) for controlling (D) uplink streaming parameters for sending data to the server (S).

Controlled uplink adaptive streaming based on server performance measurement data

A technique for reporting and processing alarm conditions in a communication network is disclosed. In one variant, a network element is presented that comprises a memory and at least one processor coupled to the memory, wherein the memory stores program code that configures the at least one processor to detect, as a first event, at least one alarm condition and to start, in response to detecting the first event, an alarm clearance timer. The program code further configures the at least one processor to detect, as a second event, at least one of expiry of the alarm clearance timer and clearance of the at least one alarm condition and to determine, after detecting the second event, a first performance indicator value of a performance indicator for a first period of time between the first event and the second event. The at least one alarm condition and the first performance indicator value (or information derived from the first performance indicator value) are then reported to a central network management component.

Technique for reporting and processing alarm conditions occurring in a communication network

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.

Technique for ultra-wide band positioning

There is provided a selecting of a radio access for a mobile terminal, comprising the steps of obtaining coverage information from a coverage information database for two or more nodes of the mobile communication network, obtaining configuration and/or state information from an inventory database for two or more nodes of the mobile communication network, and generating correlation information for two or more nodes correlating the coverage information obtained from the coverage database and the configuration and/or state information of nodes obtained from the inventory database.

Selecting radio access for mobile terminals

A method for performing handover decisions for established radio connections in a mobile network is provided where the method comprise: requesting () a drop prediction report from a communication device, indicating whether or not an established radio connection is predicted to drop; receiving () a requested drop prediction report associated with the radio connection; determining (), based on the content of the report, whether a first condition has been fulfilled; configuring a first threshold value specifying when a measurement report is to be provided from the communication device using the radio connection for which the drop prediction report has been received, in case the first condition has been fulfilled, and transmitting () the configured threshold value or an indication of the configured threshold value to the communication device.

Growing community of inventors

Budapest, Hungary

Peter Vaderna