Terminal Capability Reporting for AI and CSI Resource Allocation
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently reporting and managing artificial intelligence (AI) and channel state information (CSI) processing capabilities of terminals, leading to suboptimal performance in AI and CSI processing.
Innovation Solution
Terminals report AI-based and CSI processing capabilities using specific information parameters, allowing network devices to manage resource allocation based on available processing units, prioritizing applications to ensure operations stay within capability limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If terminals report detailed AI and CSI processing capabilities, then the network device can optimize resource allocation and improve processing performance, but the device complexity and information management overhead increase
Solution Approach 1:
The capability information is segmented into distinct types: AI processing capability information and CSI processing capability information. Each type is independently reported and managed, allowing the network device to handle different capability aspects separately rather than as a monolithic complex structure.
Solution Approach 2:
The patent extracts specific capability parameters from the terminal and reports them as discrete capability information elements. The terminal extracts and reports only the relevant capability metrics (AI processing units, CSI processing units) rather than transmitting all possible terminal parameters, reducing information overhead.
2Productivity
If the terminal processes multiple AI-based applications simultaneously, then the system utilization improves, but the terminal may exceed its processing capability limits
Solution Approach 1:
The terminal provides feedback to the network device about its current processing capability status. When the terminal determines that processing multiple applications would exceed its capability limits, it reports this constraint to the network device, which then adjusts the application portfolio to match available resources.
Solution Approach 2:
The terminal dynamically determines its processing capability based on current conditions and adjusts its application processing accordingly. The capability reporting is not static but adapts to the terminal's current state, allowing flexible resource utilization while preventing overload.
Data Source
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AI summary
The present disclosure provides a method and apparatus for sending or receiving capability information, and a readable storage medium. The method for sending capability information executed by a terminal comprises: sending first capability information, the first capability information being used for representing processing capability of the terminal based on artificial intelligence (AI) or machine learning (ML). The AI processing performance of a network device and the terminal can be improved.