UE Movement Detection for Adaptive Wireless Power Saving
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Solution Overview
Problem
Periodic operations performed by user equipment (UE) for smooth communication result in continuous power consumption, necessitating methods to minimize power consumption.
Innovation Solution
The UE includes a transceiver, communication processor, and neural processor configured to generate a movement determination value by determining whether the UE is moving based on a neural network model, allowing it to set an operation mode to reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE performs periodic operations such as cell search and beam sweeping to ensure smooth communication, then communication reliability is improved, but power consumption increases
Solution Approach 1:
The patent applies dynamics by making the operation mode of the UE adaptable and changeable based on movement status. The system dynamically switches between first operation mode (when moving) and second operation mode (when stationary) to optimize the balance between communication reliability and power consumption, rather than using a fixed periodic operation schedule
Solution Approach 2:
The patent changes the operational parameters of the UE based on the determined movement status. When the UE is determined to be moving, it adopts a first operation mode with different parameters (e.g., more frequent cell search and beam sweeping) compared to the second operation mode (e.g., reduced frequency) when stationary, thereby optimizing power consumption while maintaining communication reliability
2Use of energy by moving object
If the UE minimizes periodic operations to reduce power consumption, then power consumption is reduced, but communication smoothness may be affected
Solution Approach 1:
The patent implements feedback by using the determined movement status (first determination result) to adjust the operation mode. The system continuously monitors movement status and provides feedback to the operation mode selection, ensuring that communication operations are optimized based on real-time conditions, thus maintaining communication smoothness while reducing unnecessary power consumption
Solution Approach 2:
The system dynamically adjusts the frequency and intensity of communication operations based on real-time movement detection. When the UE is stationary, operations are minimized to save power; when moving, operations are increased to maintain communication quality, creating an adaptive system that responds to changing conditions
Data Source
AI summary
A user equipment (UE) includes a transceiver configured to receive a wireless signal, a communication processor configured to generate a value of at least one indicator based on the wireless signal, and a neural processor configured to receive the value of the at least one indicator from the communication processor and generate a movement determination value by determining whether the UE is moving based on the value of the at least one indicator by using a neural network model, wherein the communication processor is further configured to receive the movement determination value from the neural processor and set an operation mode of the UE based on the movement determination value.