Telefonaktiebolaget Lm Ericsson (publ)

Pedro Batista

Ursula Challita

Aneta Vulgarakis Feljan

Peter Öhlén

Yifei Jin

Eduardo Lins De Medeiros

Aldebaro Klautau

Jaeseong Jeong

Marin Orlic

Mateus Santos

Kristijonas Cyras

Alessandro Previti

Methods, apparatuses and computer programs are disclosed. The method of allocating network resources to a plurality of media flows in a communications network, the method comprising the steps of: determining a media content characteristic for the plurality of media flows; partitioning the plurality of media flows into one or more media flow groups based on the media content characteristic; initiating allocation of a separate network resource pool to the one or more media flow groups to be used by media flows belonging to respective media flow group.

Allocating network resources to media flows

A computer implemented method performed by an application programming interface (APIR) for a network node in a radio access network is provided. The APIR for the network node can receive a request from a data processing entity to transition to a defined network operating condition in the radio access network. The APIR for the network node can further transition to the defined network operating condition during a defined time period. The APIR for the network node can further collect data during the defined time period including at least one observation of the defined network operating condition, an action in the radio access network during the defined network operating condition, and a subsequent observation of the radio access network based on the action. A method performed by a data processing entity is also provided.

Data collection in defined network operating conditions in radio access networks

A node in a communications network is configured to use a reinforcement learning agent to manage a process associated with the communications network. The node is further configured to adjust a value of an exploration rate associated with training of the reinforcement learning agent, based on a performance indicator associated with the managed process.

Methods and nodes in a communications network

A computer implemented method performed by a node in a communications network comprises obtaining Key Performance Indicator, KPI, targets for a plurality of KPIs, in the communications network, and determining relationships between the KPIs using a model trained using a graph-based machine learning process. Each relationship describes a manner in which changing a network configuration to alter a first one of the plurality of KPIs affects a second one of the plurality of KPIs. The method then comprises determining one or more conflicts between the KPI targets, using the relationships.

Determining conflicts between KPI targets in a communications network

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Sollentuna, Sweden

Pedro Batista