Communication Node Collaboration for Intelligent Task Execution
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Solution Overview
Problem
Existing communication systems face inefficiencies when applying AI technology due to insufficient capabilities and limited data diversity of communication nodes, leading to suboptimal performance and potential data congestion.
Innovation Solution
A first node with an intelligent collaboration task configuration function organizes and configures a collaboration node set to execute tasks collaboratively, enabling resource sharing and optimizing task execution based on load states and capabilities, thereby enhancing communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single communication node executes AI tasks independently, then the node can maintain operational autonomy, but the communication efficiency and resource utilization are insufficient
Solution Approach 1:
The patent combines multiple communication nodes into a collaboration node set that jointly executes intelligent tasks. Nodes share processing capabilities, data samples, and computational resources through coordinated collaboration, transforming individual limited capabilities into collective enhanced performance for AI model training and inference
Solution Approach 2:
The patent segments the execution of intelligent tasks across multiple nodes in a collaboration set. Different nodes handle different portions of the AI task based on their specific capabilities and available resources, allowing parallel processing and reducing the burden on any single node while improving overall efficiency
2Productivity
If communication nodes share resources for AI tasks, then resource utilization improves, but data congestion and coordination overhead increase
Solution Approach 1:
The patent establishes collaboration node sets and defines resource sharing mechanisms in advance through pre-configuration. Nodes prepare their data samples, processing capabilities, and communication interfaces beforehand, enabling efficient coordination during actual AI task execution without excessive overhead
Solution Approach 2:
The patent maintains continuous collaboration among nodes in the set, with ongoing data sharing, model training, and inference operations. The collaboration mechanism remains active and optimized, allowing nodes to continuously utilize shared resources without repeated setup overhead
3Adaptability or versatility
If multiple nodes collaborate on AI tasks, then data diversity and processing capability improve, but system complexity and management difficulty increase
Solution Approach 1:
The patent creates a universal collaboration framework that can accommodate different types of communication nodes with varying capabilities. The collaboration mechanism is designed to be multi-functional, supporting various AI tasks, different data formats, and diverse node types through standardized interfaces and protocols
Data Source
AI summary
This application provides a communication method and a communication apparatus. The method includes: A first node determines a collaboration node set for executing an intelligent collaboration task, where the collaboration node set includes a second node. The first node sends a first message to the second node, where the first message configures the second node to execute the intelligent collaboration task, and the first message includes one or more of the following information: information about a node in the collaboration node set, identification information of the intelligent collaboration task, description information of the intelligent collaboration task, or time information for executing the intelligent collaboration task. In this way, communication efficiency can be improved.