公开(公告)号：US20240214277A1

公开(公告)日：2024-06-27

申请号：US18555977

申请日：2021-06-01

Applicant: Nokia Technologies Oy

Inventor： Peter ROST ,  Cinzia SARTORI ,  Dario BEGA

IPC: H04L41/16 ,  H04L41/0823 ,  H04W24/02

CPC classification number: H04L41/16 ,  H04L41/0823 ,  H04W24/02

Abstract: Devices, methods and computer programs for a packet data unit session for machine learning exploration for wireless communication network optimization are disclosed. A client device detects a trigger condition being satisfied for machine learning exploration for wireless communication network optimization. In response, the client device initiates establishment of a packet data unit (PDU) session for the machine learning exploration. The PDU session for the machine learning exploration is associated with a machine learning exploration indicator that indicates that the PDU session is reserved for machine learning exploration.

公开(公告)号：US20240046148A1

公开(公告)日：2024-02-08

申请号：US18258728

申请日：2021-01-29

Applicant: Nokia Technologies Oy

Inventor： Dario BEGA ,  Haitao TANG ,  Cinzia SARTORI

IPC: G06N20/00 ,  H04L41/16

CPC classification number: G06N20/00 ,  H04L41/16

Abstract: There are provided measures for machine learning model renewal. Such measures exemplarily comprise receiving a first machine learning model message including a first machine learning inference model, obtaining network related input data, feeding said first machine learning inference model with said network related input data, receiving, upon unsuitability of said first machine learning inference model for an experienced network condition, a second machine learning model message including a second machine learning inference model, and replacing said first machine learning inference model with said second machine learning inference model.

公开(公告)号：US20240346557A1

公开(公告)日：2024-10-17

申请号：US18701065

申请日：2021-10-13

Applicant: Nokia Technologies Oy

Inventor： Dario BEGA ,  Anja JERICHOW ,  Saurabh KHARE ,  Konstantinos SAMDANIS ,  Colin KAHN ,  Gerald KUNZMANN

IPC: G06Q30/0282

CPC classification number: G06Q30/0282

Abstract: A trusted rating function in a communication network system obtains at least one verification information associated with at least one of an analytics function identifier, a service identifier and a service consumer identifier, receives, from a service consumer, rating information related to at least one rated service and consumer verification information associated with the service consumer, accepts the rating information based on a comparison between the obtained verification information and the consumer verification information, and updates a rating stored for the rated service based on the rating information.

公开(公告)号：US20240236208A1

公开(公告)日：2024-07-11

申请号：US18559114

申请日：2021-08-31

Applicant: Nokia Technologies Oy

Inventor： Dario BEGA ,  Anna PANTELIDOU ,  Christiane Maria ALLWANG

IPC: H04L67/62 ,  H04L41/147 ,  H04L41/16

CPC classification number: H04L67/62 ,  H04L41/147 ,  H04L41/16

Abstract: A requests prediction apparatus (103) comprising means for: —generating information related to one or more predicted data service requests on the basis of information related to one or more past data service requests; —sending information related to at least one of the predicted data service requests to a requests prediction service client (102-i).

公开(公告)号：US20240049032A1

公开(公告)日：2024-02-08

申请号：US18361178

申请日：2023-07-28

Applicant: Nokia Technologies Oy

Inventor： Dario BEGA ,  Fabio GIUST ,  Stephen MWANJE

IPC: H04W24/10 ,  H04W24/08

CPC classification number: H04W24/10 ,  H04W24/08

Abstract: There is provided an apparatus comprising: at least one processor and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to receive, at an analytics producer, a request for analytics, from an analytics consumer, wherein the request comprises a first time period, TA, determine a second time period, DS for an expected time to provide the requested analytics at the analytics producer, provide the analytics based on the request in a third time period, TD, determine, based on TA, DS and TD, which of at least one of a plurality of parameters is met and increment a counter for the determined parameter.

公开(公告)号：US20230079052A1

公开(公告)日：2023-03-16

申请号：US17932028

申请日：2022-09-14

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Dario BEGA ,  Bahare MASOOD KHORSANDI ,  Gerald KUNZMANN ,  Yannick LAIR ,  Apostolos PAPAGEORGIOU

IPC: H04W24/10 ,  H04W24/08 ,  H04L41/14

Abstract: An apparatus for use by a communication network element or communication network function configured to operate as an analytics entity and having an analytics logical function. The apparatus is caused to: receive a request, from a service consumer, for provision of a custom analytics service, process data retrieved from the request for determining whether a model for providing the requested custom analytics service is prepared, and in case the determination is negative, determine and select a model training entity having a model training logical function which is able to create a model for custom analytics and has access to data required for the requested custom analytics service, request, from the selected model training entity, to obtain a trained model capable of providing the requested custom analytics service and forward the information specifying the custom analytics service to the selected model training entity.