Mobility History Report for Handover Optimization
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Solution Overview
Problem
Current LTE mobility history information collection is limited, lacking details such as beam information, sensor measurements, and dual connectivity data, which are crucial for optimizing handover processes and resource management in multi-RAT scenarios.
Innovation Solution
Enhancing the mobility history information mechanism by including beam-related information, sensor data, and dual connectivity configuration and statistics, allowing management nodes to configure and fetch mobility history reports from user equipment (UE), and providing detailed reports that include measurement time, DRX information, and location data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mobility history information collection is enhanced to include beam information, sensor measurements, and dual connectivity data, then the accuracy of handover predictions and resource allocation improves, but the device complexity and information processing load increase
Solution Approach 1:
The mobility history information is segmented into multiple distinct components: beam-related information, sensor measurements, dual connectivity configuration and statistics, location information, and measurement timing information. Each component is collected and reported separately through structured message elements, allowing the system to gather comprehensive data while maintaining organized and manageable information structures that reduce processing complexity.
2Reliability
If comprehensive mobility history information is collected including beam information and sensor data, then network performance optimization improves, but the loss of time for information collection and processing increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing mobility history information in the UE before handover events occur. The UE maintains buffers for beam measurements, sensor data, and connectivity statistics during normal operation, so that when a handover prediction is needed, this pre-collected information can be immediately reported without requiring time-consuming data gathering at the moment of handover decision.
Solution Approach 2:
The system implements feedback mechanisms where the network node receives mobility history reports from the UE and uses this information to optimize handover decisions and resource allocation. The network can send requests for specific mobility history information and receive structured responses, creating a feedback loop that continuously improves network performance while managing information collection efficiency.
3Productivity
If detailed mobility history reports are transmitted including all measurement parameters, then the quality of resource allocation decisions improves, but the quantity of information transmitted increases message overhead
Solution Approach 1:
The system extracts and reports only the most relevant mobility history information based on network needs. The network node can request specific types of information (beam-related, sensor measurements, dual connectivity data) rather than receiving all possible data. This selective extraction approach provides sufficient information for high-quality resource allocation decisions while minimizing the volume of transmitted information and reducing message overhead.
Data Source
AI summary
A user equipment, UE, in a wireless communication system can receive a request for UE mobility history information from a network node. The UE can generate a UE mobility history report and transmit the UE mobility history report to the network node. The UE mobility history report can include a beam related information, sensor information, location information, and/or dual connectivity information for the UE.


