UE Mobility History Reporting Across LTE and NR Cell States
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The implementation of mobility history information in UEs is incomplete, particularly in NR systems, and there is a need to enhance the efficiency of storing and reporting such information across different cell states, including LTE and NR visit cell information, especially in out-of-service scenarios.
Innovation Solution
A method and apparatus for UEs to identify transitions between cell states, determine time spent in these states, and store this information as mobility history, which is then reported to base stations, enhancing the efficiency of mobility history information collection and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If UEs store mobility history information in RRC idle or inactive modes, then network optimization data collection is improved, but device complexity and memory requirements increase
Solution Approach 1:
The UE performs preliminary actions by storing mobility history information (cell IDs, timing, signal strength) in a buffer during RRC idle or inactive modes before connecting to the network. This preliminary data collection occurs automatically without real-time network intervention, and the stored information is subsequently reported when the UE transitions to connected mode, thereby improving information collection while minimizing ongoing device complexity
Solution Approach 2:
The UE autonomously manages its own mobility history information collection and storage without continuous network control. The device self-services by automatically recording cell selection/reselection events, maintaining history buffers, and determining when to report information based on its own state transitions, thereby reducing the burden of external management while still achieving comprehensive data collection
2Measurement precision
If UEs report mobility history information frequently, then network optimization accuracy is improved, but signaling overhead and energy consumption increase
Solution Approach 1:
Instead of continuous reporting, the UE employs periodic action by reporting mobility history information only at specific state transition moments (e.g., when transitioning from RRC idle/inactive to connected mode). This periodic reporting triggered by state changes maintains measurement precision while significantly reducing the frequency of transmissions and associated energy consumption compared to continuous reporting mechanisms
Solution Approach 2:
The patent extracts only the essential mobility history information elements needed for network optimization (such as cell IDs, timing, and signal strength measurements) rather than reporting all possible data. By extracting and reporting only the most relevant parameters, the system achieves adequate measurement precision while minimizing signaling overhead and energy expenditure for data transmission
3Loss of information
If UEs store detailed mobility history including LTE and NR visit cell information, then network optimization comprehensiveness is improved, but storage requirements and processing complexity increase
Solution Approach 1:
The UE applies local quality by storing different types of mobility history information (LTE and NR visit cell information) with appropriate detail levels based on their specific characteristics and network optimization needs. Rather than uniformly storing all possible data with equal detail, the system tailors the storage granularity and retention policies to the specific cell type and mobility scenario, achieving comprehensive coverage while optimizing storage utilization
Solution Approach 2:
The patent implements partial action by storing and reporting a representative subset of mobility history information rather than every possible data point. The UE captures key mobility events and parameters that are sufficient for network optimization purposes, accepting that not every single cell visit or measurement is recorded. This partial approach provides adequate comprehensiveness for network planning while keeping storage requirements manageable
Data Source
AI summary
The present disclosure relates to a communication technology for fusing, with an IoT technology, a 5G communication system for supporting a higher data transmission rate than a 4G system, and a system therefor. The present disclosure may be applied to intelligent services, such as smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail, and security and safety related services, on the basis of 5G communication technologies and IoT-related technologies. The present disclosure may provide a method and a device for collecting and reporting mobility history information by a terminal in a next-generation mobile communication system.