UE Relaxed RRM Measurement for Low-Power 5G Mobility
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing power consumption and handover failures in user equipment (UE) due to unnecessary measurements, especially in inactive or idle modes, particularly in 5G communication systems utilizing ultra-high frequency bands and advanced technologies.
Innovation Solution
The method and apparatus provide a UE with the capability to determine its mobility state and perform relaxed RRM measurements only when necessary, using thresholds for Srxlev and Squal to reduce measurement frequency, time, and targets, thereby conserving power and reporting handover failures effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the UE performs frequent and comprehensive RRM measurements to ensure accurate mobility management and handover decisions, then the measurement precision and reliability are improved, but the power consumption increases
Solution Approach 1:
The patent changes the measurement parameters (frequency, time, number of targets) based on the UE's mobility state. When the UE is determined to be in a low mobility state (e.g., stationary or slow moving), the measurement frequency is reduced, measurement time is shortened, and the number of measurement targets is decreased. This dynamic parameter adjustment maintains measurement accuracy when needed while reducing power consumption during low mobility periods.
Solution Approach 2:
The patent implements dynamic measurement configuration by continuously monitoring UE mobility state and adjusting measurement parameters accordingly. The system transitions between different measurement configurations based on real-time mobility assessment, making the measurement process adaptive rather than static. This allows the system to optimize the balance between measurement accuracy and power consumption based on current operational conditions.
2Reliability
If the UE performs comprehensive RRM measurements on multiple frequencies and cells to ensure reliable handover, then the handover reliability is improved, but the measurement complexity and processing overhead increase
Solution Approach 1:
The patent applies local quality by tailoring the measurement configuration to the specific mobility characteristics of the UE. Instead of applying a uniform comprehensive measurement approach to all UEs, the system adjusts measurement parameters locally based on each UE's mobility state. For low mobility UEs, fewer measurement targets are required, reducing complexity while maintaining sufficient handover reliability for that specific context.
Solution Approach 2:
The patent segments the measurement process into different configurations based on mobility states. Rather than performing all possible measurements simultaneously, the system divides measurement tasks into different levels of comprehensiveness corresponding to different mobility states. This segmentation allows the UE to perform only the necessary measurements for its current mobility condition, reducing overall complexity.
3Use of energy by moving object
If the UE reduces measurement frequency and targets to save power in inactive or idle modes, then the power consumption is reduced, but the handover failure reporting capability may be degraded
Solution Approach 1:
The patent performs preliminary assessment of the UE's mobility state to determine whether relaxed measurement is appropriate before actually reducing measurement activities. By evaluating mobility characteristics in advance, the system can make informed decisions about measurement configuration that balance power savings with maintaining adequate handover failure reporting capability. This preliminary action prevents premature reduction of measurements that could compromise reliability.
Solution Approach 2:
The patent implements feedback mechanisms where the UE's mobility state is continuously monitored and used to adjust measurement configuration. The system provides feedback loops that allow it to detect when measurement reduction may be impacting handover performance and to adjust configuration accordingly. This feedback ensures that power optimization does not come at the cost of handover failure reporting reliability.
Data Source
AI summary
Provided is a method by which a user equipment (UE) performs measurement on a frequency in a wireless communication system. The method may include receiving, from a base station (BS), system information including configuration information about relaxed measurement, determining, based on the configuration information, whether criteria for the relaxed measurement are fulfilled, and performing the relaxed measurement on at least one frequency, based on a result of the determining.