UE Measurement Profile Switching for Adaptive RRM Efficiency
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Solution Overview
Problem
Existing 3GPP technologies do not dynamically adapt RRM measurements based on network conditions, leading to inefficient power consumption and increased signaling overhead in user equipment.
Innovation Solution
User equipment autonomously manages multiple measurement profiles based on event-based triggering, allowing it to switch between default and non-default configurations to optimize power consumption and reduce signaling overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RRM measurements are performed continuously with fixed periodicity, then measurement reliability is maintained, but power consumption increases
Solution Approach 1:
The patent implements dynamic measurement periodicity adjustment where the UE adapts its measurement periodicity based on detected network conditions. When good conditions are detected, the UE increases periodicity (reduces measurement frequency) to save power. When conditions deteriorate, the UE decreases periodicity (increases measurement frequency) to maintain reliability. This dynamic adaptation resolves the contradiction between maintaining measurement reliability and reducing power consumption.
Solution Approach 2:
The patent changes the measurement periodicity parameter based on network condition assessments. The UE monitors network conditions and adjusts the measurement periodicity parameter accordingly - extending periodicity when conditions are favorable and reducing periodicity when conditions worsen. This parameter adaptation allows the system to optimize the trade-off between measurement reliability and power consumption in different operational scenarios.
2Adaptability or versatility
If measurement configurations are frequently transferred to adapt to network conditions, then measurement adaptability improves, but signaling overhead increases
Solution Approach 1:
The patent enables the UE to autonomously detect network conditions and independently adjust its own measurement periodicity without requiring frequent configuration transfers from the network. The UE uses its own resources to monitor network conditions and make adaptation decisions, eliminating the need for continuous network signaling. This self-service approach achieves measurement adaptability while avoiding the signaling overhead that would result from network-controlled configuration updates.
Solution Approach 2:
The patent introduces an intermediate mechanism where the UE autonomously interprets network conditions and translates them into appropriate measurement periodicity adjustments. Rather than requiring the network to explicitly signal configuration changes, the UE acts as an intermediary that detects conditions and self-adjusts, reducing the need for direct signaling between network and UE while maintaining adaptability.
3Use of energy by moving object
If measurement periodicity is reduced to save power, then power consumption decreases, but measurement precision may deteriorate
Solution Approach 1:
The patent implements dynamic adjustment of measurement periodicity based on real-time network condition assessment. When network conditions are favorable (good signal quality, stable connection), the UE extends the measurement periodicity to reduce power consumption. When conditions deteriorate, the UE shortens the periodicity to maintain measurement precision. This dynamic behavior ensures that measurement precision is maintained only when necessary, optimizing the trade-off between power consumption and measurement quality.
Solution Approach 2:
The patent changes the measurement periodicity parameter adaptively based on network condition thresholds. The UE monitors network conditions and adjusts the periodicity parameter within a range of values, extending it when conditions are good and reducing it when conditions worsen. This parameter adaptation ensures that measurement precision is maintained at adequate levels while minimizing power consumption through extended periodicity during favorable conditions.
Data Source
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AI summary
According to a first embodiment, a method may include receiving, by a user equipment, at least one indication of at least one non-default measurement profile. The method may further include determining, by the user equipment, that at least one predefined condition applies. The method may further include applying, by the user equipment,one or more of at least one adapted measurement, at least one non-adapted measurement, at least one default measurement profile, at least one non-default measurement profile, at least one adapted measurement profile, and at least one non-adapted measurement profile.