Cell Reselection Rules for Network Function Prioritization
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Solution Overview
Problem
Current cell reselection methods in 5G networks fail to meet operator requirements for load balance and preferred cell residency in scenarios with mixed LTE and NR coverage, lacking a solution to prioritize cells based on specific network functions and signal quality thresholds.
Innovation Solution
A method for user equipment (UE) to acquire cell reselection rules through protocol configurations, system messages, or pre-stored information, allowing it to select target cells based on network functions such as 5G indication and core network type, and prioritize cell reselection using a combination of frequency and network function criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frequency-priority-based cell reselection policy is adopted for load balance, then load distribution is improved, but ability to meet operator requirements for preferred cell residency is worsened
Solution Approach 1:
The cell reselection policy is segmented into multiple priority levels: first priority for cells supporting target network functions, second priority for frequency-based load balancing. This segmentation allows both load balance and operator preferences to be satisfied simultaneously by dividing the reselection criteria into hierarchical segments.
Solution Approach 2:
Different reselection criteria are applied to different cell types locally: cells supporting target network functions receive special priority treatment, while other cells follow standard frequency-priority-based reselection. This local quality differentiation enables operator-specific preferences to be met without compromising overall load balance.
2Ease of operation
If all LTE cells are treated with same frequency priority, then simplicity of reselection process is improved, but ability to differentiate preferred cells is worsened
Solution Approach 1:
While maintaining uniform frequency priority for simplicity, the invention introduces a local quality differentiation mechanism by adding network function support as an additional prioritization criterion. Cells supporting target network functions are identified and given preferential treatment, achieving differentiation without complicating the base frequency-priority framework.
Solution Approach 2:
The cell prioritization mechanism combines multiple properties (frequency priority and network function support) into a composite evaluation criterion. This composite approach allows the system to maintain the simplicity of frequency-based reselection while incorporating additional differentiation capabilities through the overlay of network function support checking.
3Speed
If cell reselection is based only on signal quality, then reselection speed is improved, but ability to ensure UE resides in preferred cells is worsened
Solution Approach 1:
The invention performs preliminary action by pre-identifying cells that support target network functions and marking them with higher priority before reselection occurs. This preliminary classification allows the UE to quickly identify preferred cells without complex real-time evaluations, maintaining fast reselection speed while ensuring preferred cell residency.
Solution Approach 2:
The reselection mechanism changes the priority parameter dynamically based on network function support. Cells supporting target network functions are assigned a higher priority parameter value, which modifies the reselection behavior to prefer these cells while maintaining the overall speed of the signal quality-based reselection process.
Data Source
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AI summary
Provided are a cell reselection method and device as well as a computer storage medium. The method includes: User Equipment (UE) acquires a cell reselection rule; and the UE selects a target cell based on the cell reselection rule and a network function supported by a neighbor cell and executes cell reselection based on the target cell.