AI-Based CSI CPU Allocation for Flexible Channel Reporting

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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

VSEngineering 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

Engineering Contradiction:

Improveprocessing simplicityVSAvoidprocessing flexibility

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent segments the fixed CPU processing configuration into multiple independent CPU units that can be individually allocated to different CSI processing tasks. Each CPU can handle specific CSI processing requirements independently, allowing flexible combination and allocation of processing resources based on different AI model needs and CSI processing scenarios.

Inventive Principle:

Principle #1Segmentation

2Device complexity

If a fixed CPU configuration is used for CSI processing, then resource allocation simplicity is maintained, but processing efficiency deteriorates

Engineering Contradiction:

Improveresource allocation simplicityVSAvoidprocessing efficiency

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent implements dynamic CPU allocation where the number and configuration of CPUs assigned to CSI processing can be adjusted in real-time based on processing requirements. The system can dynamically allocate different quantities of CPUs to different CSI processing tasks, allowing optimization of processing efficiency for various AI model complexities and CSI reporting scenarios while maintaining manageable resource allocation through standardized interfaces.

Inventive Principle:

Principle #15Dynamics

3Device complexity

If all CPUs process one piece of CSI together, then resource management is simplified, but AI-based CSI processing adaptability deteriorates

Engineering Contradiction:

Improveresource management simplicityVSAvoidAI-based CSI processing adaptability

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent applies local quality by allowing different CPU configurations and processing characteristics for different CSI processing tasks. Each CPU unit can be optimized for specific AI model requirements, with varying processing capabilities allocated to different CSI processing scenarios. This enables tailored resource allocation where specific CPU resources are optimized for specific AI-based CSI processing needs while maintaining overall system manageability.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260051939A1Method and apparatus for reporting quantity of cpus, method and apparatus for receiving quantity of cpus, terminal, and network side device

Publication Date: 2026.02.19 VIVO MOBILE COMM CO LTD

AI summary

This application discloses a method and apparatus for reporting a quantity of channel state information processing units (CPUs), a method and apparatus for receiving a quantity of CPUs, a terminal, and a network side device, and pertains to the field of communication technology. The method for reporting a quantity of CPUs according to an embodiment of this application includes: reporting, by a terminal, a quantity of CPUs occupied by first CSI, where the first CSI is CSI processed based on an AI unit.