Positioning Reference Signal Sampling for Channel-Aware Power Saving
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Solution Overview
Problem
Existing communication technologies face a trade-off between accuracy and power consumption in positioning reference signal (PRS) measurements, particularly for low-power devices like RedCap UEs, leading to inefficient power usage due to the need for a fixed number of PRS samples regardless of channel conditions.
Innovation Solution
A device determines channel metrics to adjust the number of PRS samples based on target accuracy and channel conditions, reducing the number of measurements needed to achieve desired accuracy and conserve power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a fixed number of PRS samples is used for positioning measurements, then the measurement process is simple and device complexity is low, but power consumption is high and measurement efficiency is poor
Solution Approach 1:
The patent implements dynamic adjustment of the number of PRS samples based on channel conditions. The device determines channel metrics (such as RSRP, RSRQ, or SINR) and adaptively selects the number of PRS samples from a set of possible values, rather than using a fixed number. This dynamic approach allows the system to optimize power consumption by reducing the number of samples when channel conditions are good, while maintaining measurement accuracy when conditions deteriorate.
Solution Approach 2:
The patent changes the parameter of the number of PRS samples based on channel metrics. The device receives mapping information that correlates channel metrics with appropriate numbers of PRS samples, and adjusts this parameter dynamically. This parameter change strategy enables the system to achieve the desired balance between power consumption and positioning accuracy by adapting to varying channel conditions.
2Measurement precision
If the number of PRS samples is increased to improve positioning accuracy, then measurement precision improves, but power consumption increases
Solution Approach 1:
The patent utilizes parameter changes by adjusting the number of PRS samples according to channel metrics. When channel conditions are poor, the device increases the number of samples to maintain positioning accuracy. When conditions are good, it reduces the number of samples to save power. This dynamic parameter adjustment is guided by mapping information that provides the relationship between channel metrics and appropriate sample numbers.
Solution Approach 2:
The patent implements a feedback mechanism where the device continuously monitors channel metrics and adjusts the number of PRS samples accordingly. The mapping information serves as a lookup table or guideline that translates channel metric values into appropriate sample numbers, creating a closed-loop system that adapts to changing conditions and optimizes the trade-off between accuracy and power consumption.
3Measurement precision
If PRS measurements are performed frequently to maintain positioning accuracy, then positioning precision is maintained, but power consumption and time consumption increase
Solution Approach 1:
The patent applies dynamics by making the PRS measurement process adaptive rather than static. Instead of performing measurements at fixed intervals or with fixed parameters, the system dynamically adjusts the measurement strategy based on channel conditions. This allows the device to maintain positioning accuracy when needed while reducing measurement frequency when channel conditions are stable and good, thereby reducing time consumption and power usage.
Data Source
AI summary
Embodiments of the present disclosure relate to mechanism for positioning reference signal (PRS) measurements. According to embodiments of the present disclosure, a first device determines channel metrics between the first device and a second device. The first device determines a number of PRS samples based on the channel metrics and a target accuracy for a PRS measurement. The first device transmits a report indicating a result of the PRS measurement. In this way, the number of PRS samples can be reduced based on the channel metrics, thereby saving power.