Scenario-Adaptive CSI Acquisition for Wireless Environments
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Solution Overview
Problem
The existing CSI acquisition schemes in wireless communication systems, particularly in FDD mode, face challenges in adapting to varying scenarios due to limited generalization capability of AI-based methods and complexity in model switching, leading to suboptimal performance and resource inefficiency.
Innovation Solution
A method for determining CSI acquisition schemes based on communication scenario information, utilizing AI models and non-AI feedback methods, with network and terminal devices independently or jointly selecting appropriate models and configurations to adapt to different environments, and employing scenario recognition techniques for dynamic adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AI-based CSI acquisition methods are used, then CSI acquisition accuracy is improved, but the generalization capability to varying scenarios deteriorates
Solution Approach 1:
The patent implements dynamic scenario recognition and adaptive model switching, where the system dynamically identifies the current communication scenario and switches between different AI models or configurations based on the recognized scenario. This dynamic adaptation resolves the contradiction by enabling the system to maintain high CSI acquisition accuracy across varying scenarios through real-time model selection rather than relying on a single static AI model.
Solution Approach 2:
The patent changes the parameter of model configuration based on scenario recognition results. Different AI models or model parameters are selected and applied according to the identified communication scenario (e.g., urban, rural, indoor, outdoor). This parameter change strategy allows the system to optimize CSI acquisition accuracy for each specific scenario while maintaining overall adaptability across diverse environments.
2Adaptability or versatility
If multiple AI models are used for different scenarios, then adaptability to varying environments is improved, but device complexity increases
Solution Approach 1:
The patent segments the communication environment into distinct scenarios (e.g., urban, rural, indoor, outdoor) and assigns specific AI models or configurations to each segment. This segmentation approach improves adaptability by tailoring models to specific scenarios while managing complexity through organized categorization rather than requiring a single complex universal model.
Solution Approach 2:
The patent introduces scenario recognition as an intermediary mechanism that bridges the gap between diverse communication environments and multiple AI models. The scenario recognition module acts as a mediator that automatically identifies the current environment and selects the appropriate model, thereby improving adaptability while shielding the system from the complexity of manual model management and switching.
3Productivity
If scenario recognition and dynamic model switching are implemented, then resource utilization is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic model switching based on scenario recognition, where the system automatically adjusts the AI model configuration according to the current communication scenario. This dynamic approach improves resource utilization by deploying appropriate computational resources only when needed for specific scenarios, rather than maintaining fixed high-resource configurations for all situations, thereby balancing performance improvement with manageable system complexity.
Data Source
AI summary
A method for determining a channel state information (CSI) acquisition solution, and a terminal device and a network device are provided. The method includes: a network device determines a CSI acquisition solution corresponding to communication scenario information, wherein the communication scenario information includes a scenario to which a wireless communication environment between the network device and a terminal device belongs.