Telefonaktiebolaget Lm Ericsson (publ)

Athanasios Karapantelakis

Konstantinos Vandikas

Maxim Teslenko

Rafia Inam

Lackis Eleftheriadis

Leonid Mokrushin

Aneta Vulgarakis Feljan

Qiang Li

Elena Fersman

Ioannis Fikouras

Keven Wang

Yifei Jin

Marin Orlic

Vlasios Tsiatsis

Adam Bergkvist

Bin Sun

Volodya Grancharov

Hongxin Liang

Craig Donovan

Ricardo Souza

Niclas Jonasson

Jing Fu

Kim Laraqui

Sigurdur Sverrisson

Christofer Flinta

Ioanna Pappa

Nipun Sharma

Nicolas Seyvet

Ramamurthy Badrinath

Cristian Norlin

Jawwad Ahmed

Marcus Gårdman

David Lindero

Anna Viggedal

Daniel Lindström

N Hari Kumar

Yang Zuo

Markus Andersson

Gábor Stikkel

Rohit Shukla

Venkata Sameer Kumar Kodukula

Marios Daoutis

Alexandros Nikou

Aditya Kumar Sinha

Rana Pratap Sircar

Nina Washington

Neil Urquhart

Michael Buisman

Praveen Arora

Sudipta Dutta

Arup Kumar Roy

Vivek Venkiteswaran

Gaurav Dixit

Ahmet Cihat Baktir

Gabriella Nordquist

A testing system and method for testing a Printed Circuit Boards (PCBs) is provided. The method is being executed at a testing system which comprises a RF test analyzer; a RF energy source; and one or more RF probes. The method includes performing a first level scanning of a first set of components in the PCB. The method further includes performing a second level scanning of another set of components in the PCB, which differs from the first set of components in the PCB; the second level scanning is performed only if anomalies are identified which is based on analyzing the results of the performed first level scanning. The method further includes determining detailed root causes of the identified anomalies which is based on analyzing results of the performed second level scanning.

Method and system for testing a printed circuit board

A computer-implemented method performed in a multi-agent system by a first network node is provided for transferring historical data from an operating agent to a second agent for an action controlling a performance of the multi-agent system. The method includes selecting at least one operating agent for transfer of historical data to the second agent. The historical data acquired from executions of an action by the at least one operating agent that at least partially fulfills an input parameter. The selecting is based on one or more criteria including (i) a performance of the at least one operating agent on the parameter or on a related parameter; (ii) an availability of the at least one operating agent; and (iii) an identity of an actuation target system for receipt of the action. The method further includes transferring the historical data to the second agent.

Historical data transfer to agent in a multi-agent system for an action controlling performance of the multi-agent system

The present disclosure relates to a service terminal, a network device and a method for access security at Operation and Maintenance, O&M, support of the network device. The network device () and the service terminal () are configured to establish a communication using at least one access setting for establishing a communication. The at least one access setting comprising one of the following: an IP address, one or several serial communication parameters, access protocol, authentication method. The method comprises to receive a trigger for changing the at least one access setting for establishing a communication with the service terminal, and to change the at least one access setting for establishing the communication with the service terminal to at least one new access setting.

Methods for access security at operation and maintenance, O and M, support

Methods, nodes, computer programs and communication networks are disclosed. The disclosure provides a method performed by a network node for controlling traffic in a communications network, the communications network comprising a wireless access node adapted to serve a plurality of wireless devices. The method comprises obtaining network operation data for at least one of the plurality of wireless devices, the network operation data comprising location of the respective wireless device and performance data correlated with the location, the network operation data being indicative of a plurality of attributes corresponding to the operation of the respective wireless device in the communications network. The method also comprises grouping the at least one wireless device of the plurality of wireless devices by partitioning the network operation data into one or more service clusters wherein each service cluster defines a geographical area based on the obtained location. The method also comprises scheduling network traffic between the wireless access node and at least one wireless device depending on the location of the at least one wireless device relative to the one or more service clusters.

Controlling traffic and interference in a communications network

A computer-implemented method and apparatus obtain a plurality of data sets. A data set comprises a respective value of a performance metric for each of a plurality of network nodes interconnected in a multi-hop arrangement. Each of the plurality of data sets is classified as normal or abnormal by comparing the respective values of the performance metric of each of the plurality of network nodes to a corresponding normality threshold, thus providing a plurality of classified data sets. The plurality of classified data sets is processed using a machine-learning algorithm in order to derive, for at least one network node of the plurality of network nodes, a node performance assessment threshold indicative of a value of the performance metric of the at least one node at which the plurality of network nodes has a predetermined likelihood of being classified as normal.

Monitoring the performance of a plurality of network nodes

A wireless device, network node and network management node are disclosed. The wireless device, network node and management node may cooperate to facilitate monitoring of the wireless device and detection of an incident involving a user of the wireless device. The wireless device is operable to connect to a network and comprises processing circuitry configured to cause the wireless device to enter an enhanced monitoring mode, receive, from a network node, configuration information specifying a measuring configuration for measuring signal strength, and measure signal strength in accordance with the received configuration information.

Enhanced monitoring and incident detection in a network

The present disclosure relates to a method of controlling power supply units (-) of a base station (), and a device () performing the method. In an aspect, a method of a base station scheduling device () of controlling power supply units (-) of a base station () is provided. The method comprises acquiring (S-) information indicating a value of voltage input to at least one of the power supply units (-) of the base station (), determining (S) from said value if the voltage input to said at least one of the power supply units (-) is sufficient, and if not determining (S) power demand of the base station (), and deactivating (S) said at least one power supply unit, if remaining power supply units (-) is capable of supplying the demanded power.

Method for improving base station efficiency and power consumption

A method performed by a first network node (). The method is for handling charging of a wireless device (). The first network node () and the wireless device () operate in a wireless communications network (). The first network node () modulates () one or more beam forming beams () in an antenna array () controlled by the first network node () with a pulse width modulation. The first network node () then charges (), wirelessly, the wireless device (), with the modulated one or more beam forming beams ().

First network node, second node, wireless device and methods performed thereby for handling charging of the wireless device

A method for managing allocation of network resources at a site in a communication network is disclosed. The method is performed by a resource manager and comprises receiving a notification of an event occurring at a network entity, the network entity being associated with the site and with a network operator. The event comprises at least one of a performance event, a fault event or an update event. The method further comprises determining an implication of the notified event for traffic flow in the network and determining, on the basis of the implication of the notified event for traffic flow in the network, an operational requirement to compensate for the event. The method further comprises obtaining configuration information for fulfilment of the operational requirement and instructing an infrastructure manager for the site to allocate network resources in accordance with the obtained configuration information in order to satisfy the operational requirement.

Method and apparatus for network resource allocation

A method for controlling allotment of power input between at least two PAs of a radio unit for data communication in a wireless communications network is provided. The radio unit has access to Direct Current (DC) power and Photovoltaic (PV) power. The amount of power to be transmitted out from each respective PA out of the at least two PAs established, and information related to the amount of PV power available is obtained. The allotment of power input of DC power and PV power between the at least two Pas is then controlled based on the established amount of power to be transmitted out from each respective PA out of the at least two PAs, and the obtained information related to the amount of PV power available.

Apparatus and a method in a wireless communications network

Decision-making equipment () is configured for link change decision-making using reinforcement learning. The decision-making equipment () is configured to track rewards (--M) earned for, and outcomes (--M) of, respective link change decisions (--M). In some embodiments, possible outcomes of a link change decision to change a serving link of a wireless device to a target link include at least: a change of the serving link of the wireless device from the target link to another link; and a network-initiated disconnect of the wireless device from the target link. Regardless, the decision-making equipment () is also configured to make a link change decision (-(M+1)) based on the tracked rewards (--M) and outcomes (--M).

Link change decision-making using reinforcement learning based on tracked rewards and outcomes in a wireless communication system

A method and system for deployment of services for customers. Network service templates (NSTs) are determined, from a permissioned distributed ledger that is distributed between network operator systems of one or more network operators and customer systems. The NSTs include respective descriptions of network characteristics that provide respective logical networks. A subset of the NSTs and a corresponding subset of the network operator systems are selected based on a service description of the first service for deployment of the first service. Instantiation of the subset of the NSTs is requested on the corresponding subset of network operator systems as a subset of network slice instances to form the first service deployed for the first customer.

Network slice instance provisioning based on a permissioned distributed ledger

An operator system of a wireless communication network operator sends, to a regulator system of a regulator, a record that includes information about administration of a subscription identifier associated with the wireless communication network operator. Responsive to sending the record to the regulator system, the operator system receives a response that indicates whether the regulator system approves of or rejects the record being added to a permissioned distributed database that is distributed at least in part between the regulator system and the operator system. The operator system adds or does not add the record to the permissioned distributed database depending on the response.

Administration of subscription identifiers in a wireless communication network

Techniques for distributed object detection and tracking are described. In an example method, a first current frame from a series of frames is sent to a first node, for detection of a first object. After object detection information for the first object is received in return, a second node is selected, and a second current frame is sent to the second node for an updated object detection. In addition, while waiting for the results of the updated object detection, two or more frames following the second current frame are sent to respective tracking nodes. Object modelling information indicating location and/or classification of one or more objects, as derived from the previously received object detection information is also sent to each of the respective tracking nodes. Tracking information for the first object is received from each of the respective tracking nodes.

Distributed computation for real-time object detection and tracking

A user device is configured to receive Hypertext Transfer Protocol, HTTP, requests sent by a user of the device. Information is obtained from the received HTTP requests about areas of interest to the user. The information obtained from the received HTTP requests is combined to generate a machine-generated representation of the areas of interest to the user. Then, data traffic sent to the user is received, and is modified based on the machine-generated representation of the areas of interest to the user.

Method of filtering data traffic sent to a user device

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Stockholm, Sweden

Athanasios Karapantelakis