Idle Mode Mobility Measurement Thresholds in Mobile Networks
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Solution Overview
Problem
Existing mobile communication networks face inefficiencies in idle mode mobility measurements, leading to excessive battery consumption, suboptimal cell re-selection, and increased costs due to static and manually configured measurement thresholds, which do not adapt to changing conditions.
Innovation Solution
User equipment (UE) configures and dynamically updates idle mode mobility measurement thresholds using internal algorithms, measuring cell quality parameters and storing them for subsequent use, allowing for adaptive and optimized cell re-selection processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static measurement thresholds are set in SIB messages, then cell re-selection can be performed, but battery life is significantly shortened and power consumption increases
Solution Approach 1:
The patent applies dynamics by transitioning from static thresholds to dynamic, adaptive thresholds. The UE autonomously adjusts measurement thresholds based on real-time conditions such as signal strength, network load, and operational state, enabling the system to optimize between power consumption and cell re-selection reliability under varying network conditions.
Solution Approach 2:
The patent implements self-service through autonomous threshold adjustment. The UE independently monitors network conditions and automatically modifies measurement parameters without requiring manual network configuration or operator intervention, reducing network overhead and enabling adaptive power management.
2Duration of action of stationary object
If measurement thresholds are set too high, then battery life is extended, but cell re-selection is delayed and serving cell quality decreases
Solution Approach 1:
The system dynamically adjusts thresholds based on current network conditions and UE state. When the UE detects poor serving cell quality or high network load, it lowers thresholds to enable timely cell re-selection, thereby maintaining service reliability while extending battery life during stable conditions through higher thresholds.
Solution Approach 2:
The patent changes measurement parameter thresholds adaptively rather than using fixed values. The UE modifies threshold parameters such as signal strength thresholds and measurement intervals based on real-time conditions, allowing optimization of the trade-off between power consumption and cell re-selection responsiveness.
3Speed
If measurement thresholds are set too low, then cell re-selection responsiveness is improved, but power consumption increases and battery life is shortened
Solution Approach 1:
The system implements dynamic threshold adjustment where measurement sensitivity is increased (lower thresholds) only when necessary, such as when the UE detects deteriorating service quality or enters high-mobility states. During stable conditions, higher thresholds reduce measurement frequency and power consumption while maintaining adequate re-selection capability.
Solution Approach 2:
The patent employs adaptive parameter changes where measurement thresholds are adjusted based on UE mobility state, signal conditions, and network load. The system changes measurement intensity and threshold values dynamically to balance fast cell re-selection with power conservation under different operational scenarios.
4Reliability
If manual threshold configuration is used, then measurement parameters can be optimized, but network operator costs and time increase
Solution Approach 1:
The patent implements self-service through autonomous threshold adjustment. The UE independently monitors network conditions, performs measurements, and automatically optimizes parameters without requiring manual network configuration or operator field tests, eliminating the time-consuming process of manual parameter tuning while maintaining optimization effectiveness.
Solution Approach 2:
The system employs feedback mechanisms where the UE continuously monitors serving cell quality, measurement results, and re-selection outcomes. This feedback information is used to automatically adjust thresholds and optimize parameters, replacing manual operator tuning with automated closed-loop optimization that reduces time and costs.
Data Source
AI summary
Methods, apparatus and articles of manufacture for performing idle mode mobility measurements in a mobile network are disclosed. An example method in a user equipment (UE) disclosed herein comprises receiving, from the mobile network, a system information block (SIB) message specifying idle mode mobility measurement is to be performed. If the measurement parameter threshold is not configured in the SIB message or if the SIB message includes an indication to not use a configured measurement parameter threshold in the SIB message, the UE sets a measurement parameter threshold for idle mode mobility measurement.