CSI Feedback Timing for Updated Measurement Types
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Solution Overview
Problem
In wireless communication systems, base stations struggle to determine accurate measurement parameters, such as channel state information, when the measurement type adopted by the terminal is updated, leading to inefficiencies in multi-antenna technology performance.
Innovation Solution
A feedback method and device that enable terminals to receive first signaling and measurement resources, determine a measurement type based on time information, and feed back measurement parameters, utilizing AI networks for precise CSI feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the measurement type adopted by the terminal is updated, then the measurement precision can be improved, but the base station cannot determine the accurate measurement parameters in time
Solution Approach 1:
The base station pre-calculates and stores multiple sets of measurement parameters corresponding to different measurement types (e.g., different CSI feedback modes, different codebook configurations) before the terminal needs to switch. When the terminal indicates a measurement type update, the base station can immediately retrieve the pre-prepared parameters without calculation delay, thus maintaining both accuracy and timeliness.
Solution Approach 2:
The system implements dynamic parameter adaptation where the base station maintains a library of measurement parameters that can be quickly switched based on terminal feedback. The measurement parameters are made dynamic and configurable rather than fixed, allowing the base station to adapt to different measurement types in real-time based on terminal capabilities and channel conditions.
2Productivity
If multi-antenna technology is used to improve system performance, then the productivity increases, but the complexity of determining accurate measurement parameters increases
Solution Approach 1:
The measurement parameter determination process is segmented into multiple independent components: terminal capability reporting, measurement type indication, parameter selection, and parameter application. Each component handles a specific aspect of the overall process, making the complex multi-antenna measurement parameter determination manageable and systematic rather than monolithic.
Solution Approach 2:
The system implements a feedback mechanism where the terminal reports its measurement capabilities and selected measurement types back to the base station. The base station uses this feedback to automatically select and configure the appropriate measurement parameters from its library, reducing the complexity of manual configuration and ensuring optimal parameters are used for the specific multi-antenna scenario.
Data Source
AI summary
The present application relates to the field of communications, and discloses a measurement parameter feedback method and device, a terminal, and a storage medium. The method comprises: receiving first signaling and a measurement resource; determining a measurement type according to time information related to the first signaling; determining a measurement parameter according to the measurement resource and the measurement type; and feeding back the measurement parameter.