Telefonaktiebolaget Lm Ericsson (publ)

Rafia Inam

Athanasios Karapantelakis

Aneta Vulgarakis Feljan

Konstantinos Vandikas

Elena Fersman

Leonid Mokrushin

Yifei Jin

Qiang Li

Maxim Teslenko

Lackis Eleftheriadis

Ioannis Fikouras

Bin Sun

Hongxin Liang

Vlasios Tsiatsis

Adam Bergkvist

Sébastien Pierrel

Magnus Norberg Olsson

Jing Fu

Joerg Niemoeller

Tor Kvernvik

Keven Wang

Vijaya Yajnanarayana

Ioanna Pappa

Selim Ickin

Marin Orlic

Alberto Hata

Alexandros Nikou

Ramamurthy Badrinath

Junaid Shaikh

Neiva Lindqvist

David Lindero

Daniel Lindström

Yang Zuo

Markus Andersson

Craig Donovan

Klaus Raizer

Marios Daoutis

Ricardo Souza

Mateus Santos

Amadeu Do Nascimento Junior

Pedro Henrique Gomes Da Silva

Neiva Linder

Mikael Anneroth

Jens Malmodin

Cecilia Nyström

Michael Buisman

Gaurav Dixit

André Luis Ogando Paraense

Ricardo Ribeiro Gudwin

Andrii Berezovskyi

Lian Araujo

Ahmad Ishtar Terra

Franco Ruggeri

Burak Demirel

Embodiments herein may relate to a method performed by a radio network node for handling communication over a bandwidth interval for one or more UEs, in a wireless communication network. The radio network node determines to change a currently used bandwidth interval based on a current state of usage of resources in the 5 currently used bandwidth interval related to number of UEs served and/or a current state of positions of the number of UEs served. With the proviso that it is determined to change the currently used bandwidth interval, the radio network node calculates a changed bandwidth interval to use. The radio network node then adjusts the currently used bandwidth interval to the calculated bandwidth interval; and uses the adjusted 10 bandwidth interval for communicating with the one or more UEs.

Method performed by a radio network node for determining a changed bandwidth interval

A method, in a first network function, for providing one or more platoon recommendations for platooning of a plurality of communication devices the method comprising: obtaining mobility information for the plurality of communication devices; determining, based on the mobility information, a platoon recommendation comprising a subset of the plurality of communication devices to be grouped into a platoon and a head communication device of the subset of communication devices to be responsible for reporting reference signal measurements on behalf of the platoon; and transmitting the platoon recommendation to a second network function.

Platooning of communication devices

A method of operating a device that interacts with a physical environment includes determining to take an action on the physical environment wherein the action is based on an output of a computing task, generating a risk level that estimates a risk of physical harm associated with taking the action within the physical environment, obtaining a performance indicator of a communication network between the device and a remote computing device, and determining, based on the risk level and the performance indicator, whether to offload the computing task to the remote computing device or to perform the computing task locally. Related devices are also disclosed.

Intelligent task offloading

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

A method performed by a first network node for a telecommunications network is provided. The method includes receiving a request for a network service. The method further includes dynamically mapping the request for the network service to an internal network slice instance based on unsupervised learning of historical data.

Network slice internal mapping using unsupervised learning and related apparatuses

A Cognitive Manager (CM) controls a RAN. The CM obtains from the RAN a set of local needs identifying a radio communication performance criterion that is to be satisfied. A set of neighbor needs are obtained from a neighbor CM. An event message is received from the RAN containing a radio metric that does not presently satisfy at least one of the set of local needs. A set of present neighbor improvement action drives being performed or will be performed to satisfy the set of neighbor needs, are obtained from the neighbor CM. A combination of the set of local needs, the set of the neighbor needs, the set of present neighbor improvement action drives, and the radio metric, is used to determine a local improvement action drive that is to be performed by the RAN. An adjustment report identifying the local improvement action drive is provided to the RAN.

Dynamic collaboration among cognitive agents managing radio access networks

The invention relates to a method for operating a policy control entity in a cellular network, the method comprising: —determining a quality of service parameter for a data packet session in which one trained model from a plurality of trained models is downloaded to a mobile entity, —determining at least one capacity parameter of the mobile entity, —determining a network transmission parameter of the cellular network, —determining said one trained model from the plurality of different trained models based on a dataset which maps different capacity parameters and transmission capabilities to the plurality of trained models, on the determined capacity parameter, and on the network transmission parameter, —determining routing information indicating where said one trained model is accessible for a transmission to the mobile entity, —transmitting the routing information to a session management entity configured to manage the data packet session in the cellular network.

Optimized model transmission

The present invention enables accelerated feature vector crafting with a high level of trustworthiness. Heretofore, a system () is set up from a data source verification apparatus () for verifying the at least one data source (--) that generates the new specimen data and a feature vector crafting apparatus () for crafting at least one new feature vector from the new specimen data. The feature vector crafting apparatus () receiving data after verification of data sources (--). The feature vector crafting apparatus () automatically generates new feature vectors from new data for forwarding there to an artificial intelligence infrastructure ().

Feature vector generation using neural networks

A method performed by a control node for a radio access network. The control node may select an energy source from a plurality of energy sources connected to a base station based on selecting an energy rate of one of the energy sources correlated in time with a radio traffic power usage of the base station. The selection may be made from a plurality of energy rates for the plurality of energy rates correlated in time for each energy source with a radio traffic power usage of the base station. The selected energy rate may improve at least one operating parameter of the selected energy source. The control node may activate the selected energy source for use by the base station. A further method performed by a global control node may be provided.

Methods for selection of energy source based on energy rate correlated with radio traffic power usage and related apparatus

A method is proposed for managing a tree-based learner as following. In an initialisation phase: training the tree-based learner with a first set of specimen data to process input data with an active model chain comprising at least a root model to generate an output, each member of the first set of specimen data having a value of each of a first set of features; in an automated reconfiguration phase: receiving a new set of specimen data; performing a comparison between the new set of specimen data and the first set of specimen data; responding to the executed comparison indicating new values of a feature in the new set of specimen data, by reconfiguring the tree-based learner by the addition of a new sub-model to the active model chain, the new sub-model being trained to process at least the new values of the feature.

Method, program, and apparatus for managing a tree-based learner

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

Embodiments herein relate to a method performed by a communication node for handling packets in a communication network, which communication network is an ICN network. The communication node adds a time stamp to a packet, which packet is requesting content of a service or comprises at least a part of the content of the service and is of a format associated with the ICN network, and which time stamp is added into an ICN header of the packet. Furthermore, the communication node transmits the packet with the added time stamp towards another communication node.

Communication nodes and methods performed therein for handling packets in an information centric 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 performed in a network node for handling an Internet Protocol, IP, packet. The IP packet originates from a source node and addresses to a destination node in an IP communication network. Upon receipt of the IP packet, the network node decapsulates the IP packet to obtain, from a network layer header of the IP packet, an indication of a point in time to drop the IP packet. The point in time to drop the IP packet is based on a first maximum delay of the IP packet between the source node and the destination node. The first maximum delay was obtained from an application software running on the source node. The network node determines whether or not to drop the IP packet based on the indication, using a clock of the network node synchronized with a clock of the source node.

Method, apparatus and system for handling an internet protocol packet

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

Growing community of inventors

Västerås, Sweden

Rafia Inam