Mobility Robustness Optimization via Handover Assistant Information
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Solution Overview
Problem
Wireless communication systems face challenges in mobility robustness, particularly during handover procedures, where failures such as radio link failures or handover failures can lead to suboptimal network performance and user experience.
Innovation Solution
The method involves performing handover procedures like conditional handover (CHO) and dual active protocol stack (DAPS) handovers, storing successful handover information, and transmitting it when trigger conditions are met, to enhance mobility robustness by optimizing handover processes and reporting failure events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional handover procedures are used, then handover speed is maintained, but handover failure rate increases leading to poor mobility robustness
Solution Approach 1:
The system performs preliminary actions by storing assistant information about successful handovers before they are needed. When a handover is attempted, the stored information from previously successful handovers is retrieved and used to optimize the current handover procedure, preventing failures before they occur.
Solution Approach 2:
The system implements feedback mechanisms where assistant information from successful handovers is collected, stored, and then fed back into the handover decision-making process. This feedback loop allows the system to learn from past successful handovers and apply that knowledge to improve future handover reliability and reduce failure rates.
2Reliability
If assistant information from successful handovers is collected and stored, then mobility robustness is improved, but device complexity increases
Solution Approach 1:
The system extracts only the essential assistant information from successful handovers that is needed for optimizing future handovers. By taking out only the relevant parameters and characteristics from complete handover records, the system reduces the amount of data that needs to be stored and processed, thereby reducing device complexity while maintaining mobility robustness improvements.
3Adaptability or versatility
If multiple handover procedure types are supported (CHO, DAPS), then adaptability is improved, but device complexity increases
Solution Approach 1:
The system implements a universal assistant information storage and retrieval mechanism that works across multiple handover procedure types including CHO and DAPS. By creating a multi-functional framework where the same core infrastructure supports different handover types, the system achieves high adaptability without proportionally increasing device complexity, as the underlying information management structure remains consistent across different handover scenarios.
Data Source
AI summary
Embodiments of the present disclosure relate to methods and apparatuses for mobility robustness optimization. According to some embodiments of the disclosure, a method may include: performing one of the following handover procedures associated with a target cell: a handover procedure in response to receiving a handover command, a CHO procedure in response to meeting a CHO execution condition, and a DAPS handover procedure in response to receiving a DAPS handover command; accessing the target cell; storing assistant information related to a successful handover to the target cell; and transmitting the assistant information related to the successful handover to the target cell in response to a trigger condition for transmitting assistant information being met. In addition, the target BS may transmit the assistant information related to the successful handover to the source BS over the Xn interface.