Network Node Measurement Feedback for AI Handover Decisions
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Solution Overview
Problem
Current 5G communication technologies lack effective mechanisms for collecting and feedback of measurement quantities between network nodes, hindering the optimization and correction of AI-based prediction results in handover decisions.
Innovation Solution
A method and apparatus for transmitting measurement request messages to a second network node to perform measurements on terminals or cells, and receiving the resulting measurement data to facilitate data collection and feedback, enabling AI-driven decision optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI technology is deployed on a base station to assist in handover prediction and decision-making, then the operational efficiency and service quality can be improved, but the ability to collect and feedback measurement quantities between network nodes is insufficient, resulting in inability to effectively correct and optimize the AI model
Solution Approach 1:
The patent implements a feedback mechanism where the first network node requests measurement results from the second network node and uses these results to correct and optimize the AI model. The measurement request message includes measurement requirements, and the measurement result message returns the actual measurement data, enabling continuous feedback loop for AI model optimization.
Solution Approach 2:
The patent introduces measurement result messages as intermediaries to transfer measurement quantities between network nodes. These messages serve as the bridge that enables information exchange, allowing the first network node to obtain measurement data from the second network node for AI model correction.
2Reliability
If measurement requests are sent to collect data from second network node, then the AI model can be optimized, but the system complexity increases due to additional message protocols
Solution Approach 1:
The patent designs measurement request and measurement result messages that can be used universally for different AI optimization scenarios. These messages serve multiple purposes: collecting measurement data, verifying AI predictions, and optimizing handover decisions, thereby reducing the need for separate specialized protocols.
Solution Approach 2:
The patent includes measurement requirements in the measurement request message beforehand, specifying what measurements need to be performed. This preliminary action allows the second network node to prepare and execute the measurements efficiently, reducing the back-and-forth communication complexity.
Data Source
AI summary
Provided are an information communication method and apparatus, and a network node. The information communication method of this application includes: transmitting a measurement request message to a second network node, where the measurement request message is used to request the second network node to perform measurement on a target end according to a measurement requirement, and the target end includes a terminal and/or a cell; and receiving a target measurement result of the measurement performed on the target end transmitted by the second network node in a case where the measurement requirement is able to meet.