5G Cell Handover via Interface Message for Load Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In the 5G mobile communication system, there is an urgent need for an efficient cell handover method to achieve load balancing, as the existing technologies struggle to effectively manage the handover of User Equipment (UE) between cells with varying loads.
Innovation Solution
A cell handover method and apparatus are introduced, which involve sending a first interface message carrying UE-related information from a first network element (e.g., gNB-DU) to a second network element (e.g., gNB-CU). This triggers a user context modification instruction, which is fed back to the first network element, enabling the handover of a target UE from a source cell to a target cell, thereby balancing the load across cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual network management and optimization is used, then control precision is improved, but labor intensity and time consumption increase
Solution Approach 1:
The system implements self-service through automated load balancing functionality. The network automatically monitors cell load conditions, identifies congested cells, and executes handover decisions without human intervention. The automated system performs load measurement, threshold comparison, and handover execution, eliminating manual network management tasks while maintaining optimization precision.
2Productivity
If automated load balancing is implemented, then productivity is improved, but system complexity increases
Solution Approach 1:
The automated load balancing system is segmented into distinct functional modules: load measurement module, threshold comparison module, handover decision module, and execution module. Each module performs a specific function, making the complex automated system manageable through functional decomposition. This segmentation allows high productivity through automation while controlling system complexity through modular design.
Solution Approach 2:
The automated load balancing system serves multiple functions: it monitors cell load, makes handover decisions, executes handovers, and adapts to different network conditions. This multi-functionality achieves high productivity through a single integrated automated system rather than multiple separate manual processes, improving efficiency while managing complexity through universal design.
3Productivity
If cell handover is performed to balance load, then system capacity is improved, but handover failure risk increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring cell load conditions and identifying congested cells before handover is needed. Load measurements are taken in advance, thresholds are pre-configured, and handover decisions are prepared based on current network state. This preliminary monitoring and preparation reduces handover failure risk by ensuring handovers are executed only when conditions are favorable.
Solution Approach 2:
The system implements feedback mechanisms where load measurement results are fed back to the handover decision module. The handover execution status is also fed back for verification. This closed-loop feedback ensures that handovers are executed only when load balancing is needed and monitors whether handovers succeed, allowing the system to adapt and improve reliability while maintaining system capacity.
Data Source
AI summary
Provided are a cell switching method and apparatus, a device, and a storage medium. The method includes the following. A first interface message is sent to a second network element, where the first interface message carries UE related information; a user context modification instruction triggered by the second network element is received, where the user context modification instruction is determined and triggered according to the first interface message, and the user context modification instruction is configured for triggering the handover of a target UE from a source cell to a target cell.


