AI-Based CSI CPU Reporting for Flexible Terminal Processing
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Solution Overview
Problem
Existing CSI processing technologies lack flexibility due to a fixed configuration where all CPUs process one piece of CSI together, leading to inefficient processing, especially when using AI-based CSI processing.
Innovation Solution
A method and apparatus for reporting and receiving the quantity of CPUs occupied by AI-based CSI processing, allowing terminals to autonomously determine CPU usage, enhancing flexibility and efficiency in CSI processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If all CPUs process one piece of CSI together in a fixed configuration, then processing simplicity is maintained, but processing flexibility deteriorates
Solution Approach 1:
The patent segments the fixed CPU processing configuration into multiple selectable CPU quantity options (1 CPU, 2 CPUs, 4 CPUs). This allows the system to divide the monolithic processing approach into discrete, configurable units, enabling flexible selection based on specific CSI processing requirements while maintaining clear definition for each configuration option.
Solution Approach 2:
The patent introduces dynamic configurability by allowing the terminal to report its supported CPU quantities to the network device. The network device can then dynamically allocate appropriate CPU resources based on current network conditions and terminal capabilities, transforming the static fixed configuration into an adaptive system that responds to changing requirements.
2Device complexity
If fixed CPU configuration is used for CSI processing, then resource allocation simplicity is maintained, but processing efficiency deteriorates
Solution Approach 1:
The patent changes the parameter of CPU quantity from a fixed value to a configurable parameter with multiple possible values (1, 2, or 4 CPUs). This parameter change enables the system to optimize processing efficiency by selecting appropriate CPU quantities for different CSI processing scenarios, while the network device maintains control through configured selection of these parameters.
Solution Approach 2:
The patent implements a feedback mechanism where the terminal reports its supported CPU quantities to the network device. This feedback loop enables the network device to make informed decisions about resource allocation, matching CPU configuration to actual terminal capabilities and processing needs, thereby improving overall system efficiency.
3Adaptability or versatility
If terminal autonomously determines CPU quantity for AI-based CSI, then processing flexibility improves, but control complexity increases
Solution Approach 1:
The patent enables the terminal to self-report its supported CPU quantities for AI-based CSI processing to the network device. This self-service approach allows the terminal to autonomously determine and communicate its processing capabilities, providing flexibility in resource utilization while transferring the complexity of capability assessment to the terminal itself rather than requiring complex centralized control.
Data Source
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AI summary
The present application relates to the technical field of communications, and discloses a method and apparatus for reporting the number of CPUs, a method and apparatus for receiving the number of CPUs, a terminal and a network side device. The method for reporting the number of CPUs in embodiments of the present application comprises: a terminal reports the number of CPUs occupied by a first CSI, wherein the first CSI is CSI processed on the basis of an AI unit.