AI-Based Terminal State Control for DRX Energy and Data Timing
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Solution Overview
Problem
Existing DRX configurations in terminals are inaccurately set by network devices, leading to inefficiencies in energy consumption and potential data delays or losses due to misjudged active states.
Innovation Solution
Implementing an AI model on the terminal to predict data arrival and control its state based on predicted output values, allowing self-regulation of active and inactive states for optimized energy savings and timely data reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the network device configures DRX by estimating data arrival cycle and delay, then the terminal can reduce energy consumption by monitoring PDCCH only in active state, but the estimation accuracy is insufficient leading to inappropriate DRX configuration
Solution Approach 1:
The terminal device autonomously determines its active and inactive states by making predictions about data arrival using an AI model, rather than relying on network device configuration based on imprecise estimates. This self-service approach allows the terminal to independently optimize its monitoring behavior according to actual data patterns.
Solution Approach 2:
The patent replaces the traditional mechanical estimation approach (network device guessing data arrival based on historical patterns) with an AI-based predictive system. The AI model analyzes multiple factors including service types, data volumes, and terminal behaviors to make accurate predictions about data arrival, substituting crude estimation with intelligent prediction.
2Loss of energy
If the terminal uses inaccurate DRX configuration, then energy saving is achieved through reduced PDCCH monitoring, but data transmission delays or losses occur
Solution Approach 1:
The AI model continuously learns from actual data arrival patterns and terminal state outcomes, adjusting its predictions to improve accuracy over time. This feedback mechanism ensures that the terminal's active state determination becomes increasingly reliable, preventing both energy waste and data transmission failures.
Solution Approach 2:
The terminal uses the AI model to predict data arrival in advance and proactively transitions to active state before data actually arrives. This preliminary action ensures the terminal is ready to receive data immediately when it arrives, preventing transmission delays while avoiding prolonged active states that would waste energy.
3Reliability
If the terminal constantly monitors PDCCH to ensure timely data reception, then data transmission reliability is improved, but energy consumption increases
Solution Approach 1:
The terminal dynamically adjusts its monitoring state based on AI-predicted data arrival patterns. Instead of constant monitoring or fixed DRX cycles, the terminal flexibly transitions between active and inactive states according to real-time predictions, optimizing the balance between energy consumption and reception reliability.
Solution Approach 2:
The AI model predicts multiple parameters including data arrival time, service type, and data volume, which the terminal uses to adjust its monitoring parameters. By changing monitoring behavior based on these predicted parameters, the terminal achieves reliable data reception only when necessary, significantly reducing overall energy consumption.
Data Source
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AI summary
Disclosed in the embodiments of the present disclosure are a terminal device state control method, a data sending method and an apparatus therefor. The terminal device state control method comprises: a terminal device determining a prediction output value of an artificial intelligence (AI) model, the AI model being used for predicting related information of data to be received by the terminal device; and, according to the prediction output value, the terminal device controlling its state. The embodiments of the present disclosure enable terminal devices to automatically control their states according to AI prediction output values, so as to achieve good energy-saving effects, and can avoid data transmission delay and loss.