Relative Threshold Cell Reselection for UE Battery Conservation
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Solution Overview
Problem
Existing mobility measurement techniques in mobile communication systems, such as UTRAN and E-UTRAN, face performance degradation due to uniform measurement intensity across all cells, leading to increased processing load and potential call dropping in DRX scenarios, without considering relative performance differences between serving and neighbor cells.
Innovation Solution
Implementing relative threshold-based neighbor cell measurement activities, where the UE adjusts measurement performance (period, accuracy, and intensity) based on the relative performance difference between the serving and target cells, allowing for reduced measurement activity on weaker cells and maintaining necessary accuracy for stronger cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform measurement intensity is applied to all cells, then measurement coverage is complete, but processing load increases and battery consumption rises
Solution Approach 1:
The patent applies different measurement intensities to different cells based on their relative quality. Stronger cells (serving and dominant neighbors) are measured with high intensity to ensure reliable mobility decisions, while weaker cells are measured with reduced intensity or skipped entirely. This local differentiation of measurement quality resolves the contradiction by maintaining necessary measurement coverage only where it matters most, thereby reducing overall processing load and battery consumption without compromising mobility reliability.
2Use of energy by moving object
If measurement activity is reduced to save battery, then energy consumption decreases, but mobility performance degrades
Solution Approach 1:
The patent dynamically changes the measurement parameters (intensity, frequency, accuracy) based on the relative quality of cells. When a cell's signal quality is above a certain threshold, full measurement activity is maintained to ensure mobility performance. When quality drops below the threshold, measurement activity is reduced or suspended, saving battery energy. This parameter adaptation resolves the contradiction by adjusting measurement effort to match actual mobility needs in different radio conditions.
3Measurement precision
If all neighbor cells are measured with high accuracy, then mobility decision accuracy is improved, but processing load and time increase
Solution Approach 1:
The patent extracts and focuses measurement resources only on the most relevant cells for mobility decisions. Instead of uniformly measuring all neighbor cells with high accuracy, the system identifies the serving cell and strongest neighbor cells as the critical subset requiring high-precision measurements. Other weaker cells are either measured with lower accuracy or excluded from measurement entirely. This extraction of essential measurement targets improves processing efficiency while maintaining mobility decision accuracy for the cells that actually matter.
4Reliability
If measurement intensity is increased for all cells, then mobility performance is improved, but battery consumption and processing load increase
Solution Approach 1:
The patent applies partial measurement action by intensively measuring only the subset of cells that are relevant for mobility decisions (serving cell and strong neighbors), while applying reduced or no measurement to weaker cells. This partial action approach maintains excellent mobility performance for the critical cell transitions while avoiding the excessive processing load and battery consumption that would result from uniformly high measurement intensity across all cells.
Data Source
AI summary
A user equipment performs downlink measurement on neighbor cells, but the measurement performance on a target cell (in terms of measurement period/sampling/accuracy etc) is dependent on the relative performance difference between the target cell and a reference cell. The reference cell may be the serving cell, or may be the strongest cell. The network is thus able to keep track of the required number of target cells without degrading the measurement performance of important cells. The UE on the other hand is still able to save its battery as much as possible while making full use of DRX.