QCL Indication for AI Models in Wireless Systems
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Solution Overview
Problem
Existing wireless communication systems lack efficient methods for indicating quasi co-location (QCL) relations for artificial intelligence (AI) or machine learning (ML) models, which are crucial for ensuring accurate radio characteristics and resource allocation.
Innovation Solution
The proposed solution involves a method where a user equipment (UE) or a network entity communicates messages to indicate the operation of AI or ML models and their associated QCL relations with reference signals, physical channels, or antenna ports, thereby facilitating the application of appropriate radio characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If QCL relations for AI/ML models are indicated using existing wireless communication methods, then communication reliability is improved, but signaling overhead increases
Solution Approach 1:
The patent applies universality by enabling TCI states to serve dual purposes: indicating QCL relations for traditional physical channels and simultaneously indicating QCL relations for AI/ML models. This multi-functionality allows the same signaling mechanism to handle both conventional and AI/ML-specific QCL indications, improving reliability while avoiding additional signaling overhead.
Solution Approach 2:
The patent uses copying by reusing the existing TCI state framework and signaling structures for AI/ML model QCL indication. Instead of creating entirely new signaling mechanisms, the invention copies and adapts the proven TCI state approach, maintaining reliability through familiar structures while minimizing overhead by avoiding redundant signaling.
2Productivity
If AI/ML models are deployed in wireless communication systems, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing a unified QCL indication mechanism that works for both traditional wireless communication and AI/ML models. The same TCI state signaling structure serves multiple purposes, reducing the need for separate complex management systems and thereby limiting the increase in device complexity while maintaining productivity benefits.
Solution Approach 2:
The patent introduces TCI states as an intermediary between the network and AI/ML models for QCL indication. This intermediary layer simplifies the interaction by providing a standardized interface, reducing the complexity burden on both the network entity and the UE while enabling efficient AI/ML model deployment and resource allocation.
3Manufacturing precision
If detailed QCL relation information is provided for AI/ML models, then manufacturing precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent applies universality by using the existing TCI state mechanism to provide detailed QCL relation information for AI/ML models without requiring new configuration procedures. The same multi-functional TCI states that work for traditional channels also provide precise radio characteristics for AI/ML models, maintaining ease of operation through familiar procedures while achieving high precision.
Solution Approach 2:
The patent applies parameter changes by extending the existing TCI state parameters to include AI/ML model-specific QCL relations. By modifying and reusing existing parameters rather than introducing entirely new configuration parameters, the system achieves precise radio characteristics indication while maintaining ease of operation through parameter reuse and existing configuration mechanisms.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may communicate, with a network entity, an indication of operation of an artificial intelligence (AI) or (ML) model at the UE and/or the network entity. Based on the indication of the operation of the AI or ML model, the UE may communicate, with the network entity, an indication of the QCL relation between the AI or ML model and reference signal communicated by the UE, a physical channel communicated by the UE, an antenna port of the network entity, or an antenna port of the UE. The QCL relation may indicate the radio characteristics applicable to the AI or ML model. The QCL relation may indicate the radio characteristics applicable to the AI or ML model.