CSI Acquisition Model Switching for Scenario-Adaptive Wireless Feedback
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Solution Overview
Problem
Existing CSI acquisition schemes in wireless communication systems face challenges in adaptability and generalization across varying scenarios, particularly in FDD mode, due to limitations in traditional mathematical models and the need for flexible, adaptable CSI feedback methods.
Innovation Solution
A method for determining a CSI acquisition scheme that adapts to communication scenarios by employing AI models and non-AI feedback schemes, enabling network and terminal devices to select or switch between different CSI acquisition models based on scenario recognition, using communication scenario information to enhance adaptability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional mathematical models are used for CSI acquisition, then the system structure is simple, but the adaptability to different wireless communication scenarios is poor
Solution Approach 1:
The patent implements dynamic adaptability by enabling the network device and terminal device to switch between multiple CSI acquisition models (traditional mathematical models and AI models) based on different wireless communication scenarios. The system dynamically selects the most appropriate model according to scenario characteristics, transforming a static system into a dynamic one that adapts to varying conditions.
Solution Approach 2:
The patent changes the parameter of model selection by introducing scenario information as a decision factor. Based on the identified communication scenario, the system selects different CSI acquisition models, effectively using parameter changes (model type selection) to improve adaptability without permanently increasing system complexity.
2Measurement precision
If AI models are used for CSI acquisition, then the adaptability improves, but the device complexity and feedback overhead increase
Solution Approach 1:
The patent applies local quality by using different CSI acquisition models for different scenarios. AI models are deployed specifically for scenarios where they provide superior accuracy, while traditional models are used for other scenarios. This localized application of AI technology optimizes measurement precision where needed without universally increasing feedback overhead.
Solution Approach 2:
The system dynamically adjusts the CSI acquisition approach based on scenario identification. By switching between AI models and traditional models according to communication scenarios, the system optimizes the balance between accuracy and feedback overhead, using AI capabilities only when and where they provide the greatest benefit.
3Adaptability or versatility
If multiple CSI acquisition models are maintained for different scenarios, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The patent segments the CSI acquisition process by dividing it into multiple models suited for different scenarios. Each model is optimized for specific scenario types, allowing the system to maintain multiple specialized models rather than one general-purpose model. This segmentation improves adaptability while managing complexity through clear model specialization.
Solution Approach 2:
The system manages multiple models dynamically by selecting the appropriate model based on scenario identification. Rather than maintaining all models active simultaneously, the system switches between models as needed, reducing the effective complexity at any given time while preserving the adaptability benefits of having multiple specialized models available.
Data Source
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AI summary
The present application relates to a method for determining a channel state information (CSI) acquisition solution, and a terminal device and a network device. The method comprises: a network device determines a CSI acquisition solution corresponding to communication scenario information, wherein the communication scenario information comprises a scenario to which a wireless communication environment between the network device and a terminal device belongs. According to embodiments of the present application, the corresponding CSI acquisition solution can be obtained on the basis of the communication scenario information, and the CSI acquisition solution can be better matched with the wireless communication environment, so that the CSI acquisition solution achieves better performance.