Conditional Handover Control Using Terminal Prediction in UDNs
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Solution Overview
Problem
In ultra-dense networks (UDN), the challenges of frequent ping-pong handovers and unreliable wireless communication due to dense cell deployment and similar signal quality across cells are not effectively addressed by existing conditional handover (CHO) methods, which do not consider terminal characteristics.
Innovation Solution
Adjusting CHO execution conditions based on prediction parameters, including movement and communication performance characteristics of the terminal, using machine learning algorithms to optimize handover decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional conditional handover methods are used in ultra-dense networks, then handover execution is based on current signal quality, but frequent ping-pong handovers occur due to similar signal quality across dense cells
Solution Approach 1:
The patent applies preliminary action by predicting future signal quality and terminal movement trends before handover execution. The network device calculates prediction parameters including future RSRP values and movement characteristics, then determines CHO execution conditions based on these predicted future states rather than current conditions alone. This prevents ping-pong handovers by anticipating whether the terminal will actually benefit from handover in the near future.
Solution Approach 2:
The patent implements dynamics by making handover decision parameters adaptive and variable based on terminal characteristics. The system dynamically adjusts CHO execution conditions according to terminal movement speed, service types, and predicted communication performance. Different terminal types (e.g., vehicular, pedestrian, stationary) receive customized handover parameters, making the system flexible rather than static.
2Reliability
If handover decisions are made without considering terminal characteristics, then the process is simple, but handover reliability deteriorates due to lack of personalized optimization
Solution Approach 1:
The patent applies parameter changes by modifying handover decision parameters based on terminal characteristics. The network device determines different prediction parameters for different terminal types, including varying movement prediction parameters, service requirement parameters, and communication performance parameters. This customization improves handover reliability without requiring complete system redesign.
Solution Approach 2:
The patent implements self-service by enabling the network device to automatically classify terminals and select appropriate prediction parameters without manual intervention. The system autonomously determines terminal types based on characteristics, selects corresponding prediction parameter sets, and adjusts CHO execution conditions automatically, reducing operational complexity while maintaining personalized optimization.
3Reliability
If conditional handover conditions are adjusted based on prediction parameters, then handover reliability improves, but the complexity of handover decision-making increases
Solution Approach 1:
The patent applies segmentation by dividing the handover decision process into distinct modular components: terminal characteristic classification, prediction parameter selection, future signal quality prediction, movement trend analysis, and CHO condition determination. Each module handles a specific aspect independently, making the overall complex system manageable and maintainable through clear separation of concerns.
Data Source
AI summary
A method for conditional handover (CHO). The method is performed by a terminal and includes: adjusting, based on a prediction value of a prediction parameter, a parameter of a CHO execution condition of a candidate cell to be evaluated of the terminal. The prediction parameter comprises at least one of: a movement and service characteristic parameter or a communication performance characteristic parameter of the terminal after the terminal accesses the candidate cell to be evaluated.