AI/ML Model Deletion Control in Mobile Communication

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Solution Overview

Problem

Existing mobile communication systems face challenges in efficiently managing and deleting AI/ML models, leading to potential inefficiencies and increased power consumption.

Innovation Solution

A communication control method that includes transmitting deletion prohibition information and deletion condition information for AI/ML models, allowing user equipment to appropriately manage and delete these models, thereby optimizing resource usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If AI/ML models are continuously stored and updated in user equipment, then model accuracy and performance are improved, but device memory usage and power consumption increase

Engineering Contradiction:

Improvemodel accuracyVSAvoidpower consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent implements a model deletion mechanism where AI/ML models are removed from user equipment based on deletion condition information received from the network. This allows the system to discard models that are no longer needed, thereby reducing memory usage and power consumption while maintaining necessary models for current communication tasks

Inventive Principle:

Principle #34Discarding and recovering

2Productivity

If AI/ML models are frequently updated to improve performance, then communication efficiency is improved, but network overhead and signaling complexity increase

Engineering Contradiction:

Improvecommunication efficiencyVSAvoidnetwork overhead

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent extracts only the essential deletion control information from the network to the user equipment, rather than continuously transmitting complete model updates. This reduces network overhead by separating the model management control signals from the actual model data transmission

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The network pre-configures deletion condition information in advance, which is then stored in user equipment for autonomous decision-making. This preliminary action reduces the need for continuous network signaling and enables local autonomous model management

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If user equipment autonomously manages AI/ML model deletion, then device adaptability is improved, but control precision and coordination with network decrease

Engineering Contradiction:

Improvedevice adaptabilityVSAvoidcontrol precision

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent implements a feedback mechanism where user equipment reports model status and deletion execution to the network. This feedback loop ensures that autonomous local decisions are coordinated with network-level model management, maintaining control precision while preserving device adaptability

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260032468A1Communication control method

Publication Date: 2026.01.29 KYOCERA CORP

AI summary

The present disclosure relates to a communication control method in a mobile communication system. The communication control method includes transmitting, by a model transmission entity to a model reception entity, deletion prohibition information indicating whether deletion of an AI/ML model is prohibited and/or deletion condition information indicating a deletion condition for the AI/ML model.