User Equipment Cell Selection Using Data Use Patterns
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional cell selection processes in wireless communication systems fail to consider the data use pattern of user equipment, leading to inefficient network management and service provision, as they rely solely on signal strength without accounting for varying data usage patterns and user speeds.
Innovation Solution
A method where user equipment generates data use pattern information based on moving speed and amount of data used, receives data providing pattern information from the network, and determines an access type to select an appropriate cell type, such as macro or small cells, based on these patterns, enabling more efficient cell selection and reselection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cell selection is based solely on signal strength (RSRP/RSSI), then the cell selection process is simple and fast, but it does not account for varying data usage patterns and user speeds, leading to inefficient network management and service provision
Solution Approach 1:
The patent introduces new parameters (data usage amount, user speed) to the cell selection process beyond traditional signal strength metrics. The UE determines its data usage pattern and speed, then selects cells based on these additional parameters, transforming the selection criteria from single-dimensional (signal strength) to multi-dimensional (signal strength + data usage + speed)
Solution Approach 2:
The cell selection process becomes dynamic by continuously monitoring data usage patterns and user speed. The UE adapts its cell selection strategy based on real-time conditions, switching between different cell types (macro vs. small cells) depending on the current data usage scenario and mobility state
2Productivity
If cell selection considers data usage pattern and user speed, then network management efficiency and service quality improve, but the cell selection process becomes more complex
Solution Approach 1:
The patent segments the cell selection process into distinct phases: (1) signal strength measurement, (2) data usage pattern determination, (3) user speed measurement, (4) cell type selection based on combined criteria. This segmentation allows each sub-process to be handled independently, managing complexity through structured decomposition
3Measurement precision
If user equipment continuously monitors data usage and speed for cell selection, then cell selection accuracy improves, but energy consumption increases
Solution Approach 1:
The UE performs measurements and monitoring at appropriate levels - not continuously at maximum intensity, but sufficiently often to capture meaningful changes in data usage patterns and speed. The system balances measurement frequency with energy conservation by triggering detailed monitoring only when necessary for accurate cell selection
Data Source
AI summary
Provided are a cell selection method performed by UE in a wireless communication system and UE using the method. The method includes generating data use pattern information, the data use pattern information including an amount of data used for each moving speed of the UE, receiving data providing pattern information that informs an amount of data provided by the wireless communication system for each specific moving speed of the UE, determining an access type of the UE based on the data use pattern information and the data providing pattern information, selecting a type of a cell to be accessed according to the access type and selecting a cell from cells having the cell type.