Conditional Handover Failure Reporting for Network Mobility Optimization
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Solution Overview
Problem
The conventional handover mechanisms in LTE and 5G systems face high handover failure rates due to channel quality attenuation, rapid device movement, and blocking, and the existing Mobility Robustness Optimization (MRO) mechanism is not suitable for optimizing handover parameters in the Conditional Handover (CHO) mechanism.
Innovation Solution
A method and apparatus for optimizing handover parameters under the CHO mechanism by allowing the terminal device to report failure cause values for candidate and non-candidate cells, enabling the network to adjust handover configurations based on this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional handover mechanism is used, then network controls mobility management, but handover success rate decreases due to channel quality attenuation and rapid movement
Solution Approach 1:
The source network device prepares multiple candidate cells and configures conditional handover parameters in advance before actual handover is needed. The terminal device stores these configuration information and evaluates candidate cells based on pre-set conditions, enabling rapid handover execution without complex real-time network control.
Solution Approach 2:
The handover mechanism transitions from static network-controlled handover to dynamic terminal-autonomous handover. The terminal device independently evaluates candidate cells, determines handover targets based on real-time conditions, and executes handover decisions autonomously, adapting to rapid movement and channel changes.
2Reliability
If conditional handover mechanism is used, then handover success rate improves, but existing MRO mechanism is not suitable for optimizing handover parameters
Solution Approach 1:
The terminal device reports failure cause values and measurement information about candidate cells to the network device after handover evaluation. This feedback enables the network to analyze why certain cells were selected or rejected, and optimize handover parameters accordingly for future conditional handover decisions.
Solution Approach 2:
The network device adjusts handover parameters such as handover trigger conditions, candidate cell selection criteria, and evaluation thresholds based on reported failure information. By changing these parameters dynamically, the system optimizes handover performance for different scenarios.
3Reliability
If terminal device records mobility failure information, then network can optimize handover parameters, but energy consumption increases
Solution Approach 1:
Instead of continuously monitoring and recording all mobility parameters, the terminal device selectively records only failure cause values and essential measurement information when handover failures occur. This partial recording approach reduces energy consumption while still providing sufficient data for network optimization.
Solution Approach 2:
The terminal device autonomously determines when to record information (only upon failure) and what information to record (failure cause and essential measurements), eliminating the need for continuous network-directed monitoring and reducing overall energy consumption.
4Ease of operation
If terminal device selects target cell autonomously, then handover flexibility improves, but measurement and evaluation complexity increases
Solution Approach 1:
The network device pre-configures handover trigger conditions and candidate cell information before handover is needed. The terminal device stores these pre-set evaluation criteria, simplifying the real-time decision-making process to merely comparing current cell measurements against pre-established thresholds.
Solution Approach 2:
The conditional handover configuration information serves multiple functions: it provides candidate cell lists, defines evaluation criteria, sets trigger conditions, and guides autonomous selection. This multi-functional configuration reduces the need for separate complex evaluation mechanisms.
Data Source
AI summary
Embodiments of this application provide an information transmission method, an apparatus, and a system. A first network device sends, to a terminal device, conditional handover configuration information that includes information about candidate cells and a handover trigger condition; after receiving the conditional handover configuration information and performing a conditional handover, the terminal device sends, to a second network device, a first failure cause value corresponding to a candidate target cell and/or a second failure cause value corresponding to a to-be-determined cell during the conditional handover; and the second network device receives the first failure cause value and/or the second failure cause value from the terminal device, and sends the first failure cause value and/or the second failure cause value to the first network device.