AI Model Input Selection for Communication Devices

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Solution Overview

Problem

In communication systems, AI models used for model prediction often require fixed resource locations and quantities as inputs, which limits their flexibility and generalization capability when resource availability changes.

Innovation Solution

A method for determining a model input for AI models in communication devices, where the input is selected based on configuration information that instructs the selection of N elements from a first domain, allowing for flexible input selection regardless of resource location and quantity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If fixed resource location and quantity are used as AI model inputs, then model prediction can be performed, but flexibility and generalization capability deteriorate when resource availability changes

Engineering Contradiction:

Improveflexibility and generalization capabilityVSAvoidnumber of AI models required

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies dynamics by making the AI model input flexible rather than fixed. The communication device dynamically selects N elements from M available resource elements based on current resource conditions, allowing the model to adapt to varying resource availability while using a single model structure

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of model input from fixed resource location/quantity to selectable N elements from M elements. By varying the selection of N elements based on configuration information and available resources, the system achieves adaptability without requiring multiple specialized models

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If multiple AI models are used to handle different resource conditions, then adaptability improves, but system overhead increases

Engineering Contradiction:

Improveadaptability to resource conditionsVSAvoidcommunication system overhead

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent implements universality by designing a single AI model that can handle multiple resource conditions. The model receives N elements selected from M available resource elements, allowing it to function universally across different resource scenarios rather than requiring separate specialized models

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system dynamically adjusts which N elements are selected from the M resource elements based on current conditions, enabling one model to adapt to various scenarios without requiring multiple static models, thereby reducing system overhead

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250037030A1Method for determining a model input and communication device

Publication Date: 2025.01.30 VIVO MOBILE COMM CO LTD

AI summary

This application discloses a method for determining a model input and a communication device. The method for determining the model input includes: a first communication device determines an input of an AI model based on configuration information of the AI model. The configuration information is used to instruct to select N elements from a first domain as the input of the AI model. N is an integer greater than or equal to 1, the first domain includes M elements, and M is an integer greater than N.