AI Beam Prediction Indication Signaling for Wireless Terminals
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in beam management due to the need for terminals to measure a large number of beam pairs, and there is a lack of clear methods for managing AI functionalities in beam prediction, leading to increased system complexity.
Innovation Solution
A communication method involving the exchange of indication information to clarify AI functionalities for beam prediction, allowing devices to manage AI functionalities more efficiently, thereby reducing signaling and simplifying the management process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If terminals measure a large number of beam pairs to ensure beam management accuracy, then beam prediction reliability is improved, but terminal complexity and measurement time increase
Solution Approach 1:
The patent introduces indication information as an intermediary mechanism that carries AI functionality identifiers between network devices and terminals. This intermediary allows the system to manage beam prediction through standardized function identification rather than direct complex measurements, reducing terminal complexity while maintaining prediction reliability through AI-based beam prediction.
Solution Approach 2:
The patent changes the approach from measuring physical beam parameters directly to using AI functionality parameters for beam prediction. By transforming the problem from physical layer measurements to higher-layer AI function management, the system achieves reliable beam prediction with reduced terminal complexity through parameter abstraction.
2Measurement precision
If terminals measure a large number of beam pairs to ensure comprehensive beam assessment, then measurement precision is improved, but measurement time increases
Solution Approach 1:
The patent applies preliminary action by having network devices pre-configure and send indication information about AI functionalities for beam prediction. This preliminary setup allows terminals to perform AI-based beam prediction without conducting exhaustive measurements, achieving comprehensive beam assessment with reduced measurement time through advance preparation.
Solution Approach 2:
The patent replaces the mechanical measurement system with an AI-based prediction system. Instead of terminals physically measuring numerous beam pairs, the system uses AI functionalities indicated through signaling to predict beam qualities, substituting mechanical measurement with intelligent computation to reduce measurement time while maintaining precision.
3Productivity
If detailed AI functionality management methods are implemented to improve beam prediction capability, then system efficiency is improved, but signaling overhead increases
Solution Approach 1:
The patent applies universality by designing indication information that can identify multiple AI functionalities through a unified mechanism. Rather than implementing separate detailed management methods for each AI function, the system uses a universal indication approach that handles various beam prediction scenarios with reduced signaling overhead while maintaining high system efficiency.
Solution Approach 2:
The patent extracts the essential AI functionality identification from complex detailed management procedures. By taking out only the critical function identification elements and encoding them in compact indication information, the system achieves efficient AI functionality management with minimized signaling overhead, separating essential from non-essential management details.
Data Source
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AI summary
The present disclosure relates to communication methods and apparatus and a storage medium. A communication method is executed by a first device, and the method comprises: sending indication information, the indication information being used for indicating an artificial intelligence (AI) function, and the AI function being used for beam prediction. A communication method is executed by a second device, and the method comprises: receiving indication information, the indication information being used for indicating an artificial intelligence (AI) function, and the AI function being used for beam prediction. The present disclosure uses indication information to indicate AI functions, thus achieving indication of AI functions.