Neighbor Cell Measurement Scheduling Across DRX Cycles
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Solution Overview
Problem
Existing cell measurement methods in user equipment result in high power consumption due to frequent measurements of low-priority cells, which are not effectively reduced by conventional techniques.
Innovation Solution
A method for user equipment to classify neighboring cells into high and low priorities, applying different measurement policies to reduce the number of measurements and prolong intervals between measurements for low-priority cells, thereby optimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If low-priority cells are measured once in each DRX cycle to ensure comprehensive cell coverage, then measurement completeness is improved, but power consumption increases
Solution Approach 1:
The patent segments neighboring cells into high-priority and low-priority groups based on signal strength and handover frequency. High-priority cells are measured once per DRX cycle while low-priority cells are measured less frequently (e.g., once every 2-4 DRX cycles), reducing overall measurement count and power consumption while maintaining adequate coverage
Solution Approach 2:
Different measurement policies are applied to different cell groups: high-priority cells receive frequent measurement (once per DRX cycle) while low-priority cells receive reduced measurement frequency. This localized differentiation optimizes power consumption by concentrating measurements on cells that matter most for handover decisions
2Use of energy by moving object
If multiple low-priority cells are measured in turn across multiple DRX cycles to reduce per-cycle measurement load, then power consumption is reduced, but measurement timeliness deteriorates
Solution Approach 1:
The patent performs preliminary classification of neighboring cells into high and low priority groups before measurement based on historical signal strength and handover data. This preliminary action enables the system to pre-identify which cells require frequent measurement and which can tolerate reduced measurement frequency, ensuring timely detection of important cells while reducing overall measurement burden
Solution Approach 2:
The measurement policy is made dynamic by adjusting measurement frequency based on cell priority classification. Low-priority cells are measured less frequently (reducing power consumption) while high-priority cells maintain regular measurement schedules (ensuring timeliness). The system dynamically adapts measurement resources to match actual network conditions and handover risks
Data Source
AI summary
The present disclosure relates to cell measurement methods and devices. In one example method, a user equipment determines at least one first neighboring cell belonging to a first priority and/or at least one second neighboring cell belonging to a second priority among at least one neighboring cell adjacent to a serving cell of the user equipment, where the first priority is lower than the second priority. When the at least one neighboring cell includes the at least one first neighboring cell, the user equipment determines that a cell measurement policy includes measuring the at least one first neighboring cell in a plurality of discontinuous reception (DRX) cycles, where a time interval between two adjacent measurements on the first neighboring cell is greater than or equal to one DRX cycle. The user equipment measures the at least one neighboring cell according to the cell measurement policy.