Measurement Data Collection Control via Mobility State Detection
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Solution Overview
Problem
Current communication systems face inefficiencies in the collection and reporting of measurement data by user equipment, leading to increased processing and battery consumption, as well as limited network visibility of user equipment mobility, which affects resource utilization and measurement accuracy.
Innovation Solution
An apparatus and method that determine the mobility state of user equipment to control the collection and storage of measurement data, allowing for efficient utilization of resources by enabling data collection and reporting based on mobility states, reducing battery drain and improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If measurement data collection and reporting is performed continuously by user equipment, then network visibility of mobility characteristics is improved, but user equipment processing load and battery consumption increase
Solution Approach 1:
The system changes the measurement data collection parameter based on mobility state. When the user equipment is in idle mode, measurement collection is disabled. When connected mode is established, measurement collection is enabled. This dynamic parameter change based on operational state resolves the contradiction by collecting data only when necessary for network operations.
Solution Approach 2:
The measurement collection function is made dynamic rather than static. The system adapts the measurement collection behavior based on the current operational mode (idle vs. connected) and mobility state of the user equipment. This dynamic adaptation allows the system to balance between network visibility requirements and user equipment energy conservation.
2Loss of information
If measurement data collection is performed in idle mode by user equipment, then mobility measurement coverage is improved, but user equipment memory consumption and processing load increase
Solution Approach 1:
Instead of continuously collecting measurement data in idle mode (excessive action), the system performs measurement collection selectively only when connected mode is established (partial action). This approach provides sufficient mobility measurement coverage for network operations while avoiding unnecessary memory consumption and processing load during idle periods.
Solution Approach 2:
The system extracts the measurement collection function from continuous operation and confines it to specific operational contexts (connected mode). By taking out the measurement collection from idle mode operations, the system reduces memory consumption and processing load while maintaining adequate measurement coverage when needed.
3Ease of manufacture
If user equipment capability reporting is performed statically, then implementation simplicity is maintained, but dynamic mobility aspect identification is lost
Solution Approach 1:
The system transitions from static capability reporting to dynamic capability reporting based on mobility state. The user equipment determines its mobility state (idle or connected mode) and adapts its measurement collection and reporting behavior accordingly. This dynamic approach maintains implementation simplicity by using existing mode indicators while enabling dynamic mobility aspect identification.
Data Source
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AI summary
An apparatus, method and system to control the collection and reporting of measurement data in a communication system. In one embodiment, an apparatus includes a processor (520) and memory (550) including computer program code. The memory (550) and the computer program code are configured to, with the processor (520), cause the apparatus to determine a mobility state of the apparatus, and collect and store measurement data in the memory (550) depending on the mobility state.