UE Cell Reselection Through Source-Target KPI Comparison
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Solution Overview
Problem
Existing cell reselection procedures in user equipment (UE) are restricted by network configuration, leading to suboptimal cell changes and degraded performance due to improper network settings, which affect user experience.
Innovation Solution
User equipment determines a key performance indicator (KPI) based on its scenario and measures the KPI of both the serving and target cells to autonomously decide on cell reselection, independent of network configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE follows network configuration for cell reselection, then the network can control cell selection policy, but the UE cannot switch to a more suitable cell when network configuration is improper, degrading UE performance and user experience
Solution Approach 1:
The patent introduces dynamic cell reselection by allowing the UE to autonomously evaluate target cells based on measured parameters (RSRP, RSRQ, SINR) and application-specific KPIs, rather than statically following network-provided priority configurations. This enables the cell reselection behavior to adapt dynamically to changing UE scenarios and channel conditions, resolving the contradiction between network control and UE adaptability.
Solution Approach 2:
The patent enables the UE to self-evaluate whether to reselect to a target cell by independently measuring cell parameters, estimating KPIs, and making the final decision without requiring network authorization or configuration for each scenario. This self-service mechanism allows the UE to overcome improper network configurations and select the most suitable cell for its current application, resolving the adaptability issue while maintaining network control for standard operations.
2Adaptability or versatility
If the network provides comprehensive cell reselection configuration for all scenarios, then cell selection can be optimized for different scenarios, but the device complexity and configuration overhead increase significantly
Solution Approach 1:
The patent extracts the cell reselection decision-making capability from the network and relocates it to the UE. Instead of the network providing complex scenario-specific configurations, the UE independently measures cell parameters, determines application-specific KPIs, and makes reselection decisions autonomously. This extraction simplifies network configuration while maintaining scenario adaptability through UE-side intelligence.
Solution Approach 2:
The patent changes the approach from configuring multiple scenario-specific parameters at the network side to using a unified measurement framework at the UE side that evaluates cells based on fundamental parameters (RSRP, RSRQ, SINR) and application-specific KPIs. This parameter transformation reduces configuration complexity while preserving the ability to optimize for different scenarios through flexible KPI weighting and thresholds.
3Adaptability or versatility
If the UE measures and evaluates multiple cell parameters for autonomous reselection, then the UE can select the most suitable cell for its scenario, but the measurement and decision complexity increases
Solution Approach 1:
The patent segments the cell reselection evaluation into distinct components: measuring fundamental cell parameters (RSRP, RSRQ, SINR), determining application-specific KPIs, estimating target cell performance, and making the final decision. This segmentation allows the UE to systematically process multiple parameters without overwhelming complexity, as each component can be implemented independently and reused across different scenarios.
Data Source
AI summary
A method for cell reselection is provided. The method includes using user equipment (UE) to determine a key performance indicator (KPI) according to the scenario that the UE is in. The method further includes the UE measuring the KPI of the source cell, which is the serving cell of the UE. The method further includes the UE estimating the KPI of a target cell according to at least one parameter of the target cell. The method further includes the UE determining to camp on the target cell according to the KPI of the source cell and the KPI of the target cell.