Nokia Technologies Oy

Nokia Solutions and Networks Oy

Stephen Mwanje

Konstantinos Samdanis

Christian Mannweiler

Henning Sanneck

Janne Tapio Ali-Tolppa

Lars Christoph Schmelz

Anubhab Banerjee

Muhammad Naseer-Ul-Islam

Abdelrahman Abdelkader

Uwe Rauschenbach

Janne Ali-Tolppa

Jürgen Goerge

Muhammad Majid Butt

Márton Kajó

David Ness Cohn

Joao Antonio Pereira Rodrigues

Klaus Negle

Darshan Ramesh

Muhammad Naseer-ul-islam

Christoph Schmelz

Samdanis Konstantinos

Kajo Marton

Method comprising: receiving information on a current system state; retrieving stored triples for a configuration parameter of the system; predicting an expected value of the configuration parameter based on the current state and the stored triples; receiving a calculated optimized value for the configuration parameter; reducing a potential degradation of a system performance based on the expected value and the calculated optimized value, wherein each of the triples comprises an information on a previous system state, an applied value of the configuration parameter, and a previous OCRS for the configuration parameter; each of the OCRSs indicates a respective range of previously desired values for the configuration parameter; the potential deterioration compares a first performance of the system under an assumption that none of the cognitive functions has manipulative behavior with a second performance of the system under an assumption that at least one of the cognitive functions has manipulative behavior.

Reducing system degradation caused by manipulative network functions

A computer-implemented data structure for a service instance object and related methods and network node devices are disclosed. The computer-implemented data structure for a service instance object of a network and service management system comprises a first data section configured to store general service instance data, a second data section configured to store end-to-end (E2E) service data, a third data section configured to store E2E service process flow specific data, and a fourth data section configured to store management domain specific data.

Computer-implemented data structure for a service instance object and related methods and network node devices

The disclosure relates to an apparatus comprising means for: receiving a request from an operator to instantiate a closed loop for managing a communication system; identifying closed loop components based on the request; and instantiating a closed loop for managing a communication system with the closed looped components.

Apparatus, method, and computer program

An apparatus and a method are provided, by which a controller receives configuration sets from at least two network automation functions, each network automation function determining the configuration set such that it is optimal for achieving an objective of the network automation function. The controller determines an optimal network configuration based on the configuration sets received from the at least two network automation functions.

Coordination and control mechanism for conflict resolution for network automation functions

Systems, methods, apparatuses, and computer program products for determining and/or applying optimal configurations in cognitive autonomous networks (CANs) are provided.

Methods and apparatuses for determining optimal configuration in cognitive autonomous networks

An apparatus comprising means configured to: receive a set of service offer descriptors, the service offer descriptor set defining one or more attributes, at least one of the attributes being associated with a plurality of different options, the set of service offer descriptors being associated with a service provider; receive a set of service requirements for a service to be provided, said set of service requirements defining one or more attributes for the service and for one or more of the attributes an associated option; and provide a set of service order descriptors for the service to be provided, said set of service order descriptors based on said set of service offer descriptors and comprising for at least one attribute of the set of service offer descriptors information indicating a selected option of the plurality of different options, in dependence on the service to be provided.

Apparatus, methods, and computer programs

Fulfillment of an intent which has been submitted to an intent-driven network management system is tracked. When information about fulfillment of the intent is received, a feedback report including a measurement that indicates a level of satisfaction with the fulfillment of the intent is provided.

Intent fulfillment satisfaction

Systems, methods, apparatuses, and computer program products for a service-centric mobility-based traffic steering.

Service-centric mobility-based traffic steering

There are provided measures for network objectives management. Such measures for enabling network objectives management in radio access networks exemplarily comprise receiving a key performance indicator optimization input indicative of a key performance indicator and an optimization direction of said key performance indicator, deriving at least one key performance indicator entry based on said key performance indicator optimization input, said at least one key performance indicator entry comprising at least said optimization direction of said key performance indicator and prioritized target values for said key performance indicator, storing said at least one key performance indicator entry, deciding, for a cognitive function, a target value for said key performance indicator of said prioritized target values for said key performance indicator expected to be achieved by said cognitive function, and providing said decided target value for said key performance indicator and said optimization direction of said key performance indicator to said cognitive function.

Network objectives management

There is provided the apparatus comprising: at least one processor; and at least one memory comprising computer code that, when executed by the at least one processor, causes the apparatus to: identify a potential problem in a network comprising at least one network automation function; signal an indication of said potential problem to at least one network automation function of said network and a request for a proposal to address said problem; receive at least one proposal in response to said signalling; determine policy changes for addressing said potential problem in dependence on said at least one proposal; and implement said policy changes.

Communication system

There are provided measures for network objectives management. Such measures for enabling network objectives management in radio access networks exemplarily comprise maintaining a plurality of key performance indicator entries, each key performance indicator entry comprising at least an optimization direction of a respective key performance indicator and prioritized target values for said respective key performance indicator, and providing said prioritized target values for a selected key performance indicator expected to be achieved by a cognitive function to said cognitive function.

It is provided a method, comprising monitoring if a generic objective for a network is received; translating the generic objective into specific objectives based on a behavioral matrix if the generic objective is received, wherein each of the specific objectives is specific for a respective network element; requesting, for each of the specific objectives, an automation function of the respective network element to achieve the specific objective, identifying, for each of the specific objectives, based on a stored association table, a distributed control function controlling the automation function of the respective network element; informing, for each of the specific objectives, the identified distributed control function on the specific objective for the respective network element; supervising if a feedback is received from one of the distributed control functions, wherein the feedback indicates to which degree one of the specific objectives is achieved; adapting the behavioral matrix based on the feedback.

Coordinated control of network automation functions

Cognitive functions in a network, each comprising a learning module adapted to observe characteristics of the network and an inference module adapted to conclude, from the characteristics observed by the learning module, on a behavior of the network resulting from the observed characteristics, are controlled by halting and/or restarting operation of the learning module of a cognitive function of the cognitive functions, where operation of the inference module of the cognitive function is controlled independently from the halting and/or restarting the operation of the learning module of the cognitive function.

Controlling cognitive functions in a network

There are provided measures for configuration of power saving groups. Such measures, for determining, in a network including a plurality of radio cells, at least one power saving group comprising at least two radio cells of said plurality of radio cells, exemplarily comprise retrieving neighboring data including a plurality of entries corresponding to a plurality of combinations of respective two radio cells of said plurality of radio cells, wherein each of said plurality of entries represents overlapping amount information in relation to said respective two radio cells, identifying radio cells of said plurality of radio cells as power saving group reference cells based on said neighboring data, identifying radio cells of said plurality of radio cells as power saving group helping cells respectively for at least one identified power saving group reference cell based on said neighboring data, and assigning each of said identified power saving group helping cells to one of said identified power saving group reference cells based on said neighboring data, wherein each of said at least one power saving group comprises one of said identified power saving group reference cells and at least one identified power saving group helping cell assigned to said one of said identified power saving group reference cells.

Configuration of power saving groups

Various methods are provided for enabling the application of machine learning to network management and in particular to enabling cognitive network management in radio access networks. One example method may comprise interpreting one or more operator goals for the CNM or for a specific CF to ensure that the specific CF adjusts its behavior in order to fulfil the operator goals, abstracting an environment into states configured for use in subsequent decision making, wherein the abstracted environment represent are built from one or more of a combination of quantitative KPIs, abstract state labels, and operational contexts, defining legal candidate network configurations for different contexts of the CF based on the abstracted environments and operational contexts as inferred by the EMA engine, and matching a current abstract state, abstracted environment, or operational context as derived by the EMA engine to an appropriate network configuration selected from the set of legal candidate network configurations.

Growing community of inventors

Dorfen, Germany

Stephen Mwanje