Adaptive Evaluation Periods for UE Radio Link Monitoring
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Solution Overview
Problem
Current rules for relaxing radio link monitoring and beam failure detection measurements in user equipment with low mobility are not optimal, leading to inefficient power consumption and unnecessary frequent evaluations.
Innovation Solution
Implementing a relaxation factor (P) to extend the evaluation period for radio link monitoring and beam failure detection measurements based on the overlap between reference signals and DRX cycle, allowing for more efficient power management without compromising measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If relaxation is applied to radio link monitoring and beam failure detection requirements for low mobility UEs, then power consumption is reduced, but measurement accuracy and reliability deteriorate due to longer evaluation periods
Solution Approach 1:
The patent applies dynamics by making the measurement evaluation period adaptive rather than fixed. The network configures different evaluation period lengths based on UE mobility characteristics and service requirements. Low mobility UEs can use extended evaluation periods for power savings, while high mobility UEs maintain shorter periods for accurate tracking, thus dynamically optimizing both power consumption and measurement accuracy.
Solution Approach 2:
The patent changes the parameter of evaluation period length to resolve the contradiction. By configuring different evaluation period values (e.g., shorter periods for high mobility, longer periods for low mobility), the system adjusts this critical parameter to achieve optimal balance between power consumption and measurement precision for different operational scenarios.
2Loss of energy
If relaxation rules are applied to extend evaluation period, then power consumption decreases, but radio link monitoring reliability worsens due to delayed detection
Solution Approach 1:
The patent applies local quality by allowing different evaluation period configurations for different UEs based on their specific characteristics. Instead of a uniform relaxation rule, the network can configure shorter evaluation periods for UEs requiring high reliability (e.g., URLLC services) while allowing longer periods for power-sensitive UEs with stable connections, thus maintaining local optimization of both energy efficiency and reliability.
Solution Approach 2:
The system dynamically adjusts evaluation period length based on UE mobility state and service type. This dynamic configuration ensures that reliability-critical UEs maintain appropriate monitoring frequency while power-optimized UEs benefit from extended periods, resolving the contradiction through adaptive behavior rather than static relaxation rules.
3Use of energy by stationary object
If current relaxation rules are applied for low mobility UEs, then power consumption is reduced, but measurement performance deteriorates due to non-optimal evaluation periods
Solution Approach 1:
The patent optimizes measurement performance by changing the evaluation period parameter based on actual UE conditions rather than applying fixed relaxation rules. The network configures appropriate evaluation period lengths considering mobility, service requirements, and channel conditions, thereby improving measurement performance while maintaining power consumption benefits where applicable.
Solution Approach 2:
The network performs preliminary configuration of evaluation periods based on expected UE behavior and service requirements. By pre-configuring optimal evaluation periods before measurements begin, the system avoids suboptimal default relaxation and ensures both power efficiency and measurement performance are optimized from the start.
Data Source
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Figure 2B~2C
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AI summary
There is provided a method, comprising: measuring, at a user equipment, a radio quality value; detecting that the radio quality value meets a predetermined condition; deriving, based on the detection, an assumption that there is no over-lap between at least one resource for a first type of measurement and at least one resource for a second type of measurement; and determining, based on the assumption, an evaluation period requirement for the first type of measurement.