AI Model Data Packet Transmission for Flexible Retransmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The transmission efficiency and flexibility of information related to artificial intelligence (AI) and machine learning (ML) models in communication systems are inadequate in existing technologies.
Innovation Solution
A method and devices for performing transmission-related operations on AI information by dividing it into data blocks and packets, with operations including reorganization, retransmission, resume, and update, utilizing various transmission resources and functional entities to manage and reassemble the data effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI information is transmitted as a whole, then transmission simplicity is maintained, but transmission efficiency and flexibility are insufficient
Solution Approach 1:
The patent divides AI information into multiple data blocks and further into data packets for transmission. This segmentation enables selective transmission of individual packets or blocks, improving transmission efficiency by allowing parallel processing and reducing overall transmission time, while maintaining manageable complexity through structured division rather than monolithic handling
2Adaptability or versatility
If AI information is divided into data blocks and packets, then transmission flexibility is improved, but processing complexity increases
Solution Approach 1:
By segmenting AI information into hierarchical structures (data blocks and packets), the system achieves transmission flexibility where individual packets can be selectively transmitted, retransmitted, or discarded based on channel conditions and requirements, while the structured segmentation provides clear processing boundaries that manage complexity
Solution Approach 2:
The patent implements dynamic transmission strategies where the system can adaptively select which packets to transmit based on real-time conditions. The flexible reassembly mechanism allows dynamic reconstruction of AI information from received packets, enabling the system to adapt to varying transmission requirements without overwhelming processing complexity
3Reliability
If complete AI information must be transmitted, then data completeness is ensured, but time sensitivity increases
Solution Approach 1:
The patent enables partial transmission of AI information by transmitting only the necessary data blocks or packets required for the specific application task. This partial action approach maintains data completeness for the intended purpose while significantly reducing transmission time compared to transmitting the entire AI information set unnecessarily
Data Source
AI summary
The disclosure discloses an information transmission method, a first device, and a second device. The method is performed by a first device and includes the following. The first device performs a transmission-related operation on artificial intelligence (AI) information and/or at least one data block associated with the AI information and/or an AI information data packet associated with the at least one data block associated with the AI information. The at least one data block is obtained by dividing the AI information. The AI information is information related to an AI/machine learning (ML) model.