Adaptive Wireless Measurement Configuration for Signal Quality
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Solution Overview
Problem
Current wireless communication systems face challenges in dynamically adjusting measurement configurations for signal quality variations in serving cells, particularly for user equipment (UE) moving towards or away from cell centers, which affects measurement accuracy and efficiency.
Innovation Solution
A method and apparatus where a wireless device receives measurement configurations from a network, maps signal quality ranges to corresponding measurement configurations, and adjusts measurement rules based on signal quality variations, allowing for flexible selection and application of measurement configurations to optimize measurement performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed measurement configuration is applied regardless of signal quality, then the measurement rule remains simple and stable, but measurement accuracy deteriorates when UE moves towards or away from cell centers
Solution Approach 1:
The patent applies dynamics by making the measurement configuration adaptive rather than fixed. The network configures multiple measurement configurations corresponding to different signal quality ranges, and the UE dynamically selects the appropriate configuration based on current signal quality conditions. This allows the measurement parameters (such as measurement gap, measurement period, cell detection requirement) to change dynamically according to UE mobility state and signal quality, thereby improving measurement accuracy without requiring a completely new complex system.
Solution Approach 2:
The patent implements parameter changes by modifying measurement configuration parameters based on signal quality ranges. Different measurement configurations contain different parameter settings (measurement gap, measurement period, cell detection requirement, measurement accuracy requirement) that are selected according to the current signal quality condition. This parameter adaptation enables the system to optimize measurement accuracy for different mobility scenarios while maintaining a structured configuration framework.
2Adaptability or versatility
If multiple measurement configurations are provided for different signal quality ranges, then measurement accuracy improves for mobile UEs, but device complexity and configuration management increase
Solution Approach 1:
The patent applies segmentation by dividing the measurement configuration into multiple discrete configurations, each corresponding to a specific signal quality range. Instead of using a single complex configuration that tries to handle all scenarios, the system segments the configuration space into manageable parts (different measurement configurations for different signal quality ranges). The UE selects the appropriate segment based on current conditions, which simplifies the decision-making process while maintaining high adaptability.
Solution Approach 2:
The patent implements local quality by providing different measurement configuration qualities for different signal quality conditions. Rather than using a uniform configuration approach, the system applies locally optimized measurement configurations tailored to specific signal quality ranges and mobility scenarios. This allows each local condition (signal quality range) to have its own optimized measurement parameters, improving overall adaptability while keeping each individual configuration relatively simple.
3Use of energy by moving object
If measurement rules are relaxed for better power consumption, then energy efficiency improves, but measurement accuracy deteriorates when UE is moving
Solution Approach 1:
The patent applies dynamics by making the measurement configuration adaptive rather than fixed. The network configures multiple measurement configurations corresponding to different signal quality ranges, and the UE dynamically selects the appropriate configuration based on current signal quality conditions. This allows the measurement parameters (such as measurement gap, measurement period, cell detection requirement) to change dynamically according to UE mobility state and signal quality, thereby improving measurement accuracy without requiring a completely new complex system.
Solution Approach 2:
The patent implements parameter changes by modifying measurement configuration parameters based on signal quality ranges. Different measurement configurations contain different parameter settings (measurement gap, measurement period, cell detection requirement, measurement accuracy requirement) that are selected according to the current signal quality condition. This parameter adaptation enables the system to optimize measurement accuracy for different mobility scenarios while maintaining a structured configuration framework.
Data Source
AI summary
The present disclosure relates to method and apparatus for performing a measurement wireless communications. According to an embodiment of the present disclosure, a method performed by a wireless device comprises: receiving measurement configurations from a network, each of the measurement configurations mapping to a corresponding signal quality range; measuring a first signal quality for a serving cell at a first time point and a second signal quality for the serving cell at a second time point after the first time point; identifying a signal quality range to which a difference between the first signal quality and the second signal quality belongs; and performing a measurement based on a measurement configuration mapped to the identified signal quality range.