US 12,289,659 B2
Method and apparatus for use in communication networks having control and management planes
Konstantinos Samdanis, Munich (DE); Christian Mannweiler, Munich (DE); Cinzia Sartori, Pullach (DE); and Fabio Giust, Pullach (DE)
Assigned to Nokia Solutions and Networks Oy, Espoo (FI)
Filed by NOKIA SOLUTIONS AND NETWORKS OY, Espoo (FI)
Filed on Feb. 4, 2022, as Appl. No. 17/592,908.
Claims priority of application No. 21158294 (EP), filed on Feb. 19, 2021.
Prior Publication US 2022/0272510 A1, Aug. 25, 2022
Int. Cl. H04W 4/50 (2018.01); H04W 4/60 (2018.01); H04W 24/10 (2009.01); H04W 84/04 (2009.01)
CPC H04W 4/50 (2018.02) [H04W 4/60 (2018.02); H04W 24/10 (2013.01); H04W 84/04 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method, comprising:
creating, at a management plane of a communication network, a register of services and a register of producers of services in the communication network, wherein the management plane comprises one or more management functions for setting up and managing individual or groups of network functions at a control plane of the communication network, and wherein a request is from a function at one hierarchical layer of the management plane;
receiving a request from a function at one hierarchical layer of the management plane;
receiving information about one or more producers at another hierarchical layer of the management plane; and
based on at least one of the registers and the request from the function at one hierarchical layer of the management plane, providing to a consumer, information about one or more producers providing services associated with service attributes indicated by the consumer and information about one or more services associated with the service attributes indicated by the consumer, wherein the service attributes comprise reporting capabilities, periodic and historical time scheduling, file reporting type, streaming reporting type, notification reporting type, reporting condition/trigger, type of data collected for service comprising a percentage of user equipment and average/distribution, geographical area, target scope of a single user equipment, pre-processing options including aggregation and filtering, analytics types, statistics or prediction, algorithm options between artificial intelligence and machine learning, time ahead, prediction-frequency, confidence degree, and vendor information.