5G MRO Algorithm for Conditional Handover Configuration
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Solution Overview
Problem
Current 5G specifications do not adequately address the configuration of a target node when a source node's configuration changes during a conditional handover, leading to suboptimal handover performance and increased radio link failures.
Innovation Solution
A Mobility Robustness Optimization (MRO) algorithm dynamically adjusts handover parameters based on performance measurements and radio link failure events to improve handover performance and reduce unnecessary handovers, aligning with 3GPP Technical Specification (TS) 28.313.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current 5G specifications are used for handover configuration, then the system follows existing standards, but handover performance deteriorates and radio link failures increase when source node configuration changes during conditional handover
Solution Approach 1:
The patent implements dynamic handover configuration where the target node's configuration can be adjusted based on real-time conditions during conditional handover. The source node is allowed to modify target node configuration parameters (such as resource allocation, bandwidth, or access parameters) while the conditional handover is being executed, enabling the system to adapt to changing radio conditions and prevent handover failures without violating standardization frameworks.
2Productivity
If rigid handover configuration is maintained, then specification compliance is ensured, but handover boundaries become suboptimal and unnecessary handovers increase
Solution Approach 1:
The patent enables dynamic modification of handover parameter sets during the handover execution process. The source node can adjust parameters such as handover thresholds, timing advance values, or resource block allocations for the target node based on measured radio conditions, thereby optimizing handover boundaries and reducing both unnecessary handovers and failed handovers while maintaining specification compliance through controlled parameter adjustment.
3Adaptability or versatility
If source node configuration changes during conditional handover, then adaptability improves, but target node configuration becomes inconsistent leading to performance degradation
Solution Approach 1:
The patent implements a feedback mechanism where the source node monitors the execution status of conditional handover and the actual radio conditions, then uses this feedback information to make informed adjustments to the target node's configuration. The source node receives measurement reports from the UE during handover execution and uses this feedback to dynamically optimize target node parameters, ensuring configuration consistency is maintained while allowing necessary adaptations.
Data Source
AI summary
An apparatus, a system, a computer-readable media, and a method. The method is to be performed at an apparatus of a gNB configured to host a management service (MnS) producer of provisioning function and a mobility robustness optimization (MRO) function in a distributed self-organizing network (D-SON). The method includes: decoding one or more requests from a MRO management function sent on a service-based layer of the D-SON, the one or more requests indicating attributes to be set by the gNB, the attributes including MRO targets, ranges of handover parameters, and a control parameter to enable or disable the MRO function; based on the one or more requests, setting the targets and the ranges of handover parameters for the MRO function, and enabling the MRO function; and in response to a determination that a MRO performance does not meet the targets, performing updates on the attributes to optimize the MRO performance.


