UE Autonomous Handover Candidate Cell Management
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Solution Overview
Problem
Current 5G communication systems face challenges in improving measurement report/event operations and network signaling for UE autonomous handover, particularly in managing candidate target cells and optimizing handover conditions.
Innovation Solution
A communication method where a terminal transmits information about candidate target cells to a serving base station, receives conditional handover information, and performs handover if measurement results meet specific conditions, allowing for dynamic management of candidate cells and optimized handover configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the terminal autonomously determines handover based on measurement results, then handover speed and responsiveness are improved, but handover accuracy and reliability may deteriorate due to autonomous decision-making errors
Solution Approach 1:
The network pre-configures handover conditions, candidate target cells, and measurement parameters before the terminal performs autonomous handover. This preliminary configuration ensures that the terminal's autonomous decisions are based on pre-validated criteria, improving reliability while maintaining fast execution speed.
Solution Approach 2:
The terminal continuously monitors measurement results and compares them against pre-configured conditions, providing feedback to the network. The network can adjust handover parameters based on this feedback, ensuring reliable handover decisions while maintaining autonomous fast execution capability.
2Adaptability or versatility
If the terminal manages multiple candidate target cells autonomously, then handover flexibility and adaptability are improved, but device complexity and processing burden increase
Solution Approach 1:
The handover process is segmented into distinct phases: network configuration phase where handover conditions and candidate cells are defined, and terminal execution phase where measurements and decisions are made. This segmentation reduces terminal complexity by limiting autonomous processing to measurement and condition checking, while network handling the complex configuration and management.
Solution Approach 2:
The terminal uses universal measurement and evaluation mechanisms that can be applied to multiple candidate target cells with different configurations. By using a standardized approach for measuring and evaluating multiple cells, the terminal achieves high flexibility without proportionally increasing processing complexity.
3Reliability
If conditional handover parameters are pre-configured by the network, then handover reliability and control are improved, but signaling overhead and network complexity increase
Solution Approach 1:
The patent extracts only the essential handover parameters and conditions needed for reliable autonomous handover, removing redundant signaling elements. By transmitting only critical configuration information (measurement conditions, candidate cell IDs, threshold parameters) and eliminating unnecessary signaling, the network maintains reliable control while reducing signaling overhead.
4Measurement precision
If the terminal performs continuous measurement and evaluation of candidate cells, then handover accuracy is improved, but energy consumption and processing load increase
Solution Approach 1:
Instead of continuous measurement, the terminal performs periodic measurements at intervals defined by the network configuration. This periodic approach maintains adequate measurement accuracy for handover decisions while significantly reducing energy consumption and processing load compared to continuous monitoring.
Solution Approach 2:
The terminal performs measurements and evaluations only when pre-configured conditions are met or when approaching handover thresholds, rather than continuously evaluating all candidate cells. This partial action approach maintains handover accuracy by focusing computational resources on critical decision points while reducing overall energy consumption.
Data Source
AI summary
The present disclosure relates to a communication technique for fusing, with an IoT technology, a 5G communication system for supporting a higher data transfer rate than a 4G system, and a system therefor. The present disclosure may be applied to intelligent services, such as smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retailing, security and safety-related services, etc. on the basis of 5G communication technologies and IoT-related technologies. Disclosed in the disclosure is a method for measurement report/event operation and network signaling in an UE autonomous handover.


