Multi-Cell Beam Reporting for AI-Assisted Beam Prediction
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Solution Overview
Problem
Current beam prediction in multi-TRP operations is challenging for terminal devices due to limited global beam information and complex inter-cell BM, leading to poor prediction performance with AI/ML models.
Innovation Solution
A terminal device receives a beam reporting configuration from a network device indicating sets of beams for measurements and predictions associated with multiple cells, enabling efficient inter-cell BM and allowing the use of AI/ML models for improved beam prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If terminal devices perform beam measurements and predictions across multiple cells in multi-TRP operation, then beam management capability and communication performance are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent segments beam management operations into distinct measurement and prediction phases, with the terminal device measuring beams from multiple TRPs and separately predicting optimal beam assignments. This segmentation allows complex multi-cell beam management to be broken down into manageable operations, reducing processing complexity while maintaining improved beam management capability.
Solution Approach 2:
The patent implements preliminary beam measurements across multiple cells before final beam assignment decisions are made. By performing measurements in advance and storing beam information for later prediction, the system reduces real-time processing complexity while maintaining reliable beam management through pre-computed data.
2Reliability
If AI/ML models are employed for beam prediction in multi-TRP operation, then communication performance is enhanced, but device complexity and computational overhead increase
Solution Approach 1:
The patent uses AI/ML models to create predictive copies of beam performance data, where the model learns from measured beam characteristics and generates predicted beam assignments without requiring real-time complex computations. This copying approach enhances communication performance through intelligent prediction while reducing computational overhead by using pre-trained model patterns.
Solution Approach 2:
The patent changes the approach from real-time complex beam optimization to using AI/ML models that process simplified input parameters and output predicted beam assignments. By transforming the problem into parameter-based prediction rather than full optimization, the system enhances communication performance while reducing computational overhead.
3Adaptability or versatility
If terminal devices report beams associated with multiple cells, then inter-cell beam management is improved, but information processing and reporting overhead increase
Solution Approach 1:
The patent extracts only the essential beam information needed for inter-cell management from the full set of measured beam data. By selecting and reporting only critical parameters such as beam identifiers and quality metrics rather than all available measurement data, the system improves inter-cell beam management adaptability while reducing reporting overhead.
Solution Approach 2:
The patent creates a universal beam reporting mechanism that serves multiple functions: measuring beams for current communication, predicting future beam assignments, and managing inter-cell transitions. This multi-functional approach improves inter-cell beam management versatility while reducing overall information processing overhead by consolidating multiple operations into a single reporting framework.
Data Source
AI summary
Embodiments of the present disclosure disclose devices, methods and apparatuses for a beam reporting. A terminal device receives a beam reporting configuration from a network device. The beam reporting configuration indicates at least one set of beams for at least one of beam measurements or beam predictions. Each beam of at least one set of beams is associated with a cell of multiple cells which are able to be measured by the terminal device. Then, the terminal device performs a reporting of at least one beam associated with the at least one set of beams based on the beam reporting configuration. The at least one beam comprises a predicted beam which is associated to a cell of multiple cells.