AI-Native Radio Bearer Setup for Low-Latency Reliable Transmission

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Solution Overview

Problem

Existing transmission methods in 3GPP wireless communication networks fail to meet the latency and reliability requirements of AI-native services, which are characterized by large data streams and specific service flows, particularly in systems with embedded machine learning modules.

Innovation Solution

A method and apparatus for establishing a dedicated transmission channel between a base station and a terminal using air interface signaling to ensure reliable transmission of AI-native service data or signaling, utilizing radio bearers such as SRBO, SRB1, SRB2, or DRB, and configuring these bearers based on AI-native service requirements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If AI-native service data is transmitted through existing 3GPP transmission methods, then the service can be provided, but the latency and reliability requirements cannot be met

Engineering Contradiction:
Improvetransmission reliabilityVSAvoidlatency
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent segments the transmission channel by introducing dedicated radio bearers (SRB0, SRB1, SRB2, DRB) specifically for AI-native services, separating them from traditional service transmission paths. This segmentation allows optimized handling of AI service data with specific QoS parameters to meet latency and reliability requirements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by configuring different QoS parameters, priority levels, and reliability settings specifically for AI-native service bearers rather than using uniform transmission settings. This enables tailored transmission characteristics (e.g., higher priority, lower latency) for AI service data streams.

Inventive Principle:
Principle #3Local quality

2Reliability

If dedicated radio bearers are established for AI-native services, then transmission reliability is improved, but system complexity increases

Engineering Contradiction:
Improveservice transmission reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent makes existing radio bearer mechanisms (SRB0, SRB1, SRB2, DRB) multi-functional by enabling them to serve both traditional services and AI-native services. The same bearer framework is extended to support AI services with additional QoS parameters, avoiding the need for entirely new transmission infrastructure.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent performs preliminary action by pre-configuring dedicated radio bearers and QoS parameters for AI-native services during network setup or service initialization. This advance preparation ensures that when AI services need to transmit data, the optimized transmission path is already in place, reducing runtime complexity.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If AI-native service requires independent service flows with specific QoS, then service performance is improved, but transmission channel requirements increase

Engineering Contradiction:
Improveservice performanceVSAvoidchannel configuration complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces dynamic QoS parameter configuration for AI-native service bearers, allowing real-time adjustment of transmission characteristics based on service requirements. The system can dynamically modify priority, latency budgets, and reliability parameters during service operation to optimize performance.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes transmission parameters by introducing AI-specific QoS parameters (e.g., priority levels, latency requirements, reliability targets) into the existing radio bearer framework. These parameter changes enable differentiated handling of AI service data without fundamentally altering the transmission architecture.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP4422332B1Endogenous service transmission method and apparatus, and storage medium
Publication Date: 2026.02.18 DATANG MOBILE COMM EQUIP CO LTD
  • EP4422332B1 patent drawingFigure 1~2
  • EP4422332B1 patent drawingFigure 3~4
  • EP4422332B1 patent drawingFigure 5~6

AI summary

The present disclosure provides a transmission method and apparatus for an AI-native service, and a storage medium. A terminal sends an AI-native service establishment request to a base station through air interface signaling; the base station determines to establish the AI-native service according to the AI-native service establishment request and sends AI-native service establishment indication information to the terminal. Then data and/or signaling of the AI-native service can be transmitted between the base station and the terminal over a radio bearer (RB) carrying the AI-native service. In the embodiment, the data and/or the signaling of the AI-native service serves as an independent service flow and is transmitted over a specific radio bearer between the base station and the terminal, to ensure reliable transmission of the data and/or the signaling of the AI-native service.