US 12,563,447 B2 · AI-based cellular network management and orchestration

Abstract

An apparatus and system to enable MNO policy-driven AI decisions and frame structure are described. An AI SAP receives modified context information within a network and determines a response to network events based on MNO policies. The AI SAP includes a context-aware management entity that tracks and updates the context information, a cognition framework entity that processes new data, applies inferences and compares results of the inferences to available knowledge, a situational awareness entity that determines effects of events within the system on objectives based on the MNO policies, and a policy management entity that provides behavioral rules on the system based on the MNO policies. The AI SAP provides QoS modifications based on positional and movement information of a UE by determining timing indicating when the UE is to be within the AP range and adjusting AP activation and synchronization signaling for the UE based on the timing.

Claims20

Dependent claims

An apparatus of an artificial intelligence (AI) service access point (SAP), the apparatus comprising:

an interface configured to receive context information from information functions in a wireless system;
a data input entity configured to process the context information to obtain a common representation, the data input entity comprising a data normalization and scaling entity;
a knowledge management entity configured to provide information modeling to the data input entity to enable machine learning and inference associated with the context information;
and
an AI model and decision making entity configured to receive modified context information that has been normalized and scaled by the data normalization and scaling entity and determine a response based on external policies, the AI model and decision making entity comprising a context-aware management entity configured to track and update context information.

2 more elements

A non-transitory computer-readable storage medium that stores instructions for execution by one or more processors of an artificial intelligence (AI) service access point (SAP), the one or more processors to configure the AI SAP to, when the instructions are executed, control behavior of at least one of an Access Point (AP) or user equipment (UE), the one or more processors further configure the AI SAP to, when the instructions are executed:

expose an AI model in the AI SAP to external network entities in at least one wireless system through reception of context information from information functions of external network entities;
process the context information in addition to non-context information provided by other entities in the AI SAP to initially derive the AI model, and subsequently revise the AI model and determine a response for adjustment of at least one of the AP or UE based on external policies that comprise mobile network operator (MNO) policies;
generate the response for transmission to the at least one of the AP or UE;
and
perform AI-based predictive quality of service (QOS) management by analyzing real-time and historical context information comprising at least radio access technology (RAT) presence, QoS metrics, and UE mobility, and to adapt AP activation and Physical Layer (PHY) frame based on predicted UE behavior.

2 more elements

Dependencies are inferred from the claim text.

AI-based cellular network management and orchestration

Life of this patent

AI-based cellular network management and orchestration

Life of this patent

Abstract

Claims20