AI-Based Cell Reselection for Faster Low-Power Handover
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Solution Overview
Problem
Existing cell reselection procedures in terminal devices prolong the time required for cell reselection, are unfavorable for delay-sensitive services, and increase power consumption.
Innovation Solution
Implementing an AI model to predict cell reselection based on measurement results, allowing for efficient determination of target cells with improved signal quality and reduced power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the terminal device measures the target cell in a preset time period and performs reselection only after measurement ends, then the cell reselection criterion can be accurately determined, but the cell reselection time is prolonged and power consumption increases
Solution Approach 1:
The patent applies preliminary action by performing cell measurements in advance during active connection states. The terminal device measures target cells before entering idle state, storing measurement results and cell information. When idle state is entered, the pre-measured data is directly utilized for rapid cell reselection without requiring new measurements, thus resolving the contradiction between measurement accuracy and reselection time.
2Measurement precision
If the terminal device measures the target cell in a preset time period, then the cell reselection criterion can be determined, but power consumption of the terminal device increases
Solution Approach 1:
The patent applies preliminary action by performing cell measurements in advance during active connection states. The terminal device measures target cells before entering idle state, storing measurement results and cell information. When idle state is entered, the pre-measured data is directly utilized for rapid cell reselection without requiring new measurements, thus resolving the contradiction between measurement accuracy and reselection time.
Solution Approach 2:
The patent applies periodic action by performing measurements only during specific states (active connection) rather than continuously. The terminal device measures cells periodically when in active state, enters idle state with stored measurement data, and only performs brief measurements when needed during idle state. This periodic measurement approach reduces overall power consumption compared to continuous measurement while maintaining adequate measurement accuracy.
3Reliability
If the terminal device performs cell reselection based on real-time measurement, then the reselection can be performed when a better cell is found, but the process is slow and unfavorable for delay-sensitive services
Solution Approach 1:
The patent applies preliminary action by performing cell measurements in advance during active connection states. The terminal device measures target cells before entering idle state, storing measurement results and cell information. When idle state is entered, the pre-measured data is directly utilized for rapid cell reselection without requiring new measurements, thus resolving the contradiction between measurement accuracy and reselection time.
Data Source
AI summary
A cell reselection method and an apparatus. The method includes measuring a target cell to obtain a first measurement result in a first time period; determining a second measurement result of the target cell in a second time period based on an AI model, where input information of the AI model includes the first measurement result, and an end moment of the second time period is later than an end moment of the first time period; and performing reselection from a serving cell to the target cell if signal quality of the target cell in the second time period satisfies a preset condition, where the signal quality is determined based on the second measurement result. In this way, a terminal device can determine to perform reselection to the target cell, improving cell reselection efficiency and reducing power consumption of the terminal device.