AI Information Transmission Resource Configuration for Bidirectional Sharing
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Solution Overview
Problem
The challenge of efficiently transmitting information related to AI/ML models between devices, particularly from network devices to terminal devices with limited resources, is not adequately addressed in existing communication systems.
Innovation Solution
A bidirectional information transmission mechanism is implemented using a transmission resource configuration that includes various parameters such as radio bearer identities, session identities, and data importance levels to facilitate the exchange of AI/ML model-related information, allowing both reception and transmission of AI information between devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If terminal devices receive AI information from network devices, then AI information sharing is enabled, but transmission resource constraints and device complexity increase
Solution Approach 1:
The transmission resource configuration is designed to serve multiple functions: it configures not only the reception of AI information but also enables the terminal device to transmit AI information back to the network device. This multi-functional configuration approach increases adaptability while managing device complexity through a unified control mechanism.
Solution Approach 2:
The system implements dynamic transmission resource allocation where the configuration can adapt to different communication scenarios. The bidirectional transmission capability allows resources to be dynamically adjusted based on whether the terminal needs to receive or transmit AI information, enhancing versatility without fixed complex infrastructure.
2Productivity
If bidirectional transmission is implemented, then information sharing efficiency improves, but transmission resource consumption increases
Solution Approach 1:
The system enables bidirectional transmission capability but allows devices to use only the necessary direction based on actual needs. Terminal devices can configure resources for receiving AI information when needed, and for transmitting when they have AI information to share, rather than maintaining full bidirectional capability continuously, thus optimizing resource consumption while preserving efficiency when required.
3Adaptability or versatility
If AI information transmission is enabled, then communication system adaptability improves, but existing system complexity increases
Solution Approach 1:
The patent merges AI information transmission functionality with existing communication transmission resources and configurations. By integrating AI information handling into the existing transmission framework rather than creating a separate system, the solution enhances adaptability to new AI-driven communication scenarios while minimizing increases in overall system complexity.
Data Source
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AI summary
This disclosure discloses an information transmission method and apparatus, a device, a medium, and a program product, and belongs to the field of communication. The method is performed by a first device and includes the following. The first device transmits artificial intelligence (AI) information by using a transmission resource configuration sent by a second device, where the AI information is information related to an AI/machine learning (ML) model. According to the method, the first device transmits AI information by using a transmission resource configuration sent by the second device, where the AI information is information related to an AI/ML model, thereby realizing a bidirectional sharing mechanism of the AI information. In other words, the first device can not only receive the AI information from the second device, but also send the AI information to the second device, thereby expanding a manner for obtaining the AI information.