AI-Driven Beam Alignment via Parameter Indication
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Solution Overview
Problem
Conventional beam alignment methods in communication technologies are inefficient due to the high time domain resource usage of reference signal resources, leading to suboptimal beam selection and the lack of explicit AI-based solutions for beam-related usage.
Innovation Solution
An information interaction method and apparatus that utilize an AI model to indicate and obtain beam-related usage information, including parameter information, quantity information, and order information, enabling AI-driven beam alignment and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If more reference signal resources are sent in conventional beam alignment method, then beam quality information can be obtained for each reference signal resource, but time domain resources are occupied excessively
Solution Approach 1:
The patent applies preliminary action by pre-configuring beam-related usage information, parameter information, quantity information, and order information through indication before actual beam alignment operations. This allows the system to prepare AI model parameters and beam configuration data in advance, reducing the need for extensive reference signal resources during runtime and thereby saving time domain resources while maintaining measurement precision.
2Measurement precision
If more reference signal resources are sent in conventional beam alignment method, then beam quality information can be obtained for each reference signal resource, but the selected beam is not globally optimal
Solution Approach 1:
The patent introduces an intermediary mechanism by using indicated beam-related usage information and parameter information as mediators between the reference signal resources and beam quality calculations. This intermediary layer allows for AI-driven beam alignment that can achieve globally optimal beam selection by leveraging pre-configured parameters and AI models, rather than relying solely on exhaustive reference signal measurements.
3Measurement precision
If conventional beam alignment method is used, then beam quality information can be calculated, but there is no explicit AI-based solution for beam-related usage
Solution Approach 1:
The patent applies parameter changes by introducing beam-related usage information, parameter information, quantity information, and order information as new configurable parameters that enable AI-based beam alignment. These parameter changes transform the conventional beam alignment approach into an AI-driven system that can adapt to different scenarios and achieve superior beam selection performance.
Data Source
AI summary
This application discloses an information interaction method and apparatus, and a communication device. The method includes: indicating, by a first communication device, first interaction information, where the first interaction information is used to indicate at least one of the following: a beam-related usage of an artificial intelligence AI model; parameter information corresponding to the beam-related usage of the AI model, where the parameter information includes at least one of input parameter information, output parameter information, and auxiliary parameter information; quantity information related to the parameter information; and order information of the parameter information.