UE Configuration Sets for Adaptive AI Beam Inference
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Solution Overview
Problem
The increasing demand for wireless communications in next-generation radio systems like 5G NR requires improvements in flexibility and configurability to accommodate various use cases, particularly for AI/ML model inference in user equipment (UE), where existing methods lack efficient mechanisms for managing beam prediction and configuration.
Innovation Solution
A wireless communication network node generates multiple configuration sets for UE capabilities, determines changes in functionality, and transmits specific configuration sets to enable AI/ML model inference, using methods like RRC messages and AI/ML model life cycle management parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple configuration sets are generated and transmitted to UE, then adaptability and versatility of UE functionality are improved, but device complexity and signaling overhead increase
Solution Approach 1:
The configuration is divided into multiple configuration sets, each corresponding to different functionality scenarios (e.g., AI/ML model inference, beam prediction). The network node generates and transmits multiple configuration sets to the UE, allowing the UE to select and apply the appropriate configuration set based on current operational conditions. This segmentation enables flexible adaptation without requiring complete reconfiguration for each scenario change.
Solution Approach 2:
The patent implements dynamic configuration set selection where the UE can switch between different configuration sets based on changing operational conditions. The network node monitors UE capabilities and conditions, determining which configuration set should be applied at any given time. This dynamic approach allows the system to adapt to varying requirements while maintaining manageable complexity through structured configuration management.
2Adaptability or versatility
If multiple configuration sets are transmitted to UE, then adaptability is improved, but loss of information and signaling overhead increase
Solution Approach 1:
The network node performs preliminary generation and transmission of multiple configuration sets to the UE before actual functionality changes occur. By pre-configuring multiple sets, the system avoids the need for extensive signaling when switching between functionalities. The UE receives and stores these configuration sets in advance, reducing information loss and signaling overhead during operational transitions.
3Productivity
If configuration sets are dynamically adapted based on UE conditions, then productivity and responsiveness are improved, but device complexity increases
Solution Approach 1:
The network node continuously monitors UE conditions, capabilities, and operational state to determine the appropriate configuration set to apply. This feedback mechanism enables dynamic adaptation where the configuration is adjusted based on real-time UE status. The system maintains productivity by responding to condition changes while managing complexity through structured feedback loops and automated determination logic.
Data Source
AI summary
A wireless communication network node is provided. The network node includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for configuring a functionality to a user equipment (UE) and at least one processor. The processor is configured to generate several configuration sets for the functionality of the UE based on one or more capabilities of the UE. The processor is configured to transmit the configuration sets for the functionality to the UE. The processor is configured to determine a change in a condition of the functionality of the UE. The processor is configured to select a first configuration set associated with the condition, for the functionality of the UE. The processor is configured to transmit a message to the UE to use the first configuration set to configure the functionality of the UE based on the first configuration set.


