Reference Signal Allocation for AI Beam Management Operations
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Solution Overview
Problem
Existing wireless communication networks face challenges in balancing the performance and resource consumption of AI model training and inference, particularly in beam management scenarios.
Innovation Solution
A communication method and apparatus that utilize reference signal resource configuration information to differentiate between AI model training and inference operations, preventing misallocation of resources and optimizing performance and consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If reference signal resources are allocated without differentiation between AI operations, then resource allocation flexibility is improved, but resource consumption efficiency deteriorates due to misallocation
Solution Approach 1:
The patent segments reference signal resources into distinct types (first reference signal resources for model training and second reference signal resources for model inference) by introducing differentiation indication information. This segmentation allows the terminal device to identify and allocate resources appropriately based on the specific AI operation type, preventing misallocation while maintaining allocation flexibility through configurable resource pools.
2Device complexity
If AI model training and inference use the same reference signal resources, then system complexity is reduced, but measurement precision deteriorates due to inability to distinguish operation purposes
Solution Approach 1:
The patent introduces differentiation indication information as an intermediary element that enables precise identification of reference signal resource purposes without significantly increasing system complexity. This indication information acts as a mediator between the resource allocation mechanism and the terminal device, allowing accurate distinction between model training and model inference operations through a relatively simple signaling approach.
Data Source
AI summary
A communication method is provided, used in scenarios where AI is integrated into wireless networks, and in particular, in scenarios where AI models for beam management are integrated into wireless networks, which including: a network device sends, to a terminal device, reference signal resource configuration information including indication information indicating a purpose of a reference signal resource, so that the terminal device can identify the purpose of the reference signal resource based on the indication information, to prevent the terminal device from using the reference signal resource for other purposes. For example, if the indication information indicates that the reference signal resource is for performing a first operation based on an AI model, the terminal device can be prevented from using the reference signal resource for a non-AI-model-based operation. This ensures performance of the AI model and avoids a waste of resources.