Mobility Parameter Reporting for L1/L2 Handover Timing
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing mobility parameters, particularly in heterogeneous networks with varying cell sizes and technologies, leading to suboptimal performance and increased latency in handover processes.
Innovation Solution
Implementing a flexible and configurable mechanism for managing mobility parameters in wireless devices and base stations, utilizing modular architectures and adaptive protocols to optimize handover processes across different network environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing wireless communication systems use fixed mobility parameter management, then system simplicity is maintained, but handover performance and latency in heterogeneous networks deteriorate
Solution Approach 1:
The patent implements dynamic mobility parameter management where parameters such as handover threshold, hysteresis margin, and time-to-trigger are adjusted based on real-time network conditions, terminal mobility state, and signal quality measurements. This dynamic adaptation enables optimal handover performance in heterogeneous networks while maintaining manageable system complexity through automated parameter adjustment mechanisms.
Solution Approach 2:
The patent changes mobility parameters adaptively based on detected network conditions and terminal state. Specific parameter modifications include adjusting handover thresholds according to signal quality variations, modifying hysteresis margins based on network load, and updating time-to-trigger values according to mobility patterns. These parameter changes enable the system to optimize handover performance across diverse network environments.
2Loss of time
If mobility parameters are managed with fixed protocols, then implementation simplicity is maintained, but latency in handover processes increases
Solution Approach 1:
The patent performs preliminary actions by pre-configuring multiple mobility parameter sets corresponding to different network scenarios and terminal states. The system proactively selects and applies appropriate parameter configurations before handover events occur, reducing decision-making latency during actual handover processes. This preliminary preparation enables faster handover execution without requiring complex real-time calculations.
Solution Approach 2:
The patent implements feedback mechanisms where the terminal reports mobility state and signal quality measurements to the network, which then adjusts mobility parameters accordingly. This closed-loop feedback enables continuous optimization of handover timing and parameter selection, reducing handover latency through data-driven decision-making while maintaining operational simplicity through automated feedback processing.
3Adaptability or versatility
If uniform mobility management is applied across all cell types, then system simplicity is maintained, but performance in heterogeneous networks deteriorates
Solution Approach 1:
The patent applies local quality by tailoring mobility parameters specifically to each cell type and network environment. Different handover thresholds, hysteresis margins, and time-to-trigger values are configured for macro cells, micro cells, pico cells, and femto cells based on their specific characteristics. This localized parameter optimization enables adaptive mobility management in heterogeneous networks while maintaining clarity in implementation through structured configuration approaches.
Solution Approach 2:
The patent achieves universality by designing a unified mobility management framework that can handle multiple cell types and network scenarios through a single coherent system. The framework uses common measurement mechanisms, standardized parameter structures, and integrated decision-making logic that works across diverse network environments. This multi-functional approach enables adaptable mobility management without proportionally increasing complexity.
Data Source
AI summary
A wireless device receives a configuration for a layer 1 or layer 2 triggered mobility (LTM) of the wireless device and/or an early timing advance (ETA) acquisition of the wireless device. The wireless device transmits, to a base station, a report indicating an elapsed time between a first event associated with the ETA and/or the LTM and a second event associated with the ETA and/or the LTM.


