Abstract:
It is provided a method for cell anomaly detection in a network comprising receiving first training data of a first source; receiving second training data of a second source; generating profiles based on the first training data; generating profiles based on the second training data; collecting the generated profiles of the first training data and of the second training data in a pool profiles; associating a weight with each profile in the pool of profiles; providing a set of predictions based on the profiles and their associated weights; and generating data for root cause diagnosis based on at least one prediction.
Abstract:
It is proposed a method of operating a network by a SON Verification Function (20), monitoring a network behaviour and verifying a change in network based on the monitored network behaviour. The SON Verification Function performs a post-action verification of CM changes and may request from a SON coordinator to undo CM changes.
Abstract:
There are provided measures for verification of configuration actions. Such measures exemplarily comprise detecting a configuration change in a domain, said configuration change comprises at least one parameter change, and said domain comprises at least one cell, repeating, for a predetermined period, an assessment cycle, and deciding, for each respective parameter change of said at least one parameter change, whether said respective parameter change is to be undone, based on a performance change of each cell of said domain which cell is affected by said respective parameter change, wherein said assessment cycle comprises assessing said performance change of each cell of said domain which cell is affected by any of said at least one parameter change.
Abstract:
A method comprises receiving at a training coordinator training information from a self-organising network function and network related information and providing to a self-organising network function coordinator a first training request comprising a training request for said self-organising network function and one or more of network related information and training information about one or more other self-organising network functions.
Abstract:
A method of adapting operation of self-organizing network functions in a communication network comprising a big data level system and a self-organizing network system and at least one network element is provided, wherein the method comprises adapting the operation of at least one self-organizing network function by using knowledge achieved by analysis performed on the big data level.
Abstract:
A method, executable by a first network entity or function associated to a network, wherein the first network entity or function has an interface configured to receive information in relation to an artificial intelligence, AI, trustworthiness level from a network management entity or function associated to the network and a second network entity or function associated to the network, has an interface configured to receive information in relation to an AI service level from the network management entity or function, the method comprising communicating with the second network entity or function via an interface established between the first network entity or function and the second network entity or function.
Abstract:
A method for verifying an operation of a mobile radio communication network is provided, wherein the method comprises sending an Initiation Message from a first network entity to a second network entity, the Initiation Message defining an undo request and comprising an UNDO section defining an undo area, a TRIGGERING_CM section indicating changes to the network, and an ASSISTANCE section; receiving an Assistance-Response Message, the Assistance-Response Message comprising the UNDO section, and an ASSISTED_CM section; and sending an Assistance-Acknowledge Message including an ACK flag and the UNDO section from the first network entity to the second network entity.
Abstract:
A method comprising determining at least one event criteria from a received event function request; determining an event impact from the at least one event criteria and a general function impact; determining whether the event impact interferes with at least one implemented function instance; and generating a coordination output based on the determination whether the event impact inteferes.
Abstract:
A method of coordinating a communication network comprising a self-coordination network coordinator is provided, wherein the method comprises receiving dynamic context information at the self-coordination network coordinator and performing a coordination of at least one self-organising network function instance based on the received dynamic context information.