Terminal RRC Decoding for 5G Handover Failure Detection
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Solution Overview
Problem
Current 5G communication systems lack detailed mechanisms for supporting mobility robustness during handovers between different radio access technologies (RATs), leading to inefficiencies in detecting failure causes and optimizing network performance.
Innovation Solution
A method is introduced where a terminal detects connection failures in one RAT and reports them to a base station of another RAT, enabling the network to correctly identify failure causes without requiring the base station to decode RRC messages from different RATs, thereby reducing processing time and complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the base station decodes RRC messages from different RATs to detect failure causes, then the detection accuracy is improved, but the processing time and complexity increase
Solution Approach 1:
The patent extracts the RRC message decoding function from the base station and relocates it to the terminal. The terminal independently decodes RRC messages from other RATs and identifies failure causes, then reports only the results to the base station. This extraction eliminates the time-consuming decoding process from the base station's workflow while preserving detection accuracy.
Solution Approach 2:
The terminal acts as an intermediary between the RRC message and the base station. Instead of the base station directly decoding and analyzing RRC messages from different RATs, the terminal performs the decoding and analysis intermediate step, then communicates the processed information to the base station. This intermediary approach reduces the base station's processing burden and time.
2Measurement precision
If the base station parses RRC messages from other RATs to identify failure causes, then the detection capability is improved, but the device complexity increases
Solution Approach 1:
The complex RRC message parsing and decoding functionality is extracted from the base station and assigned to the terminal. The base station only needs to handle simple report messages from the terminal, significantly reducing its processing complexity while the terminal, which is already equipped for such operations, handles the complex decoding tasks.
Solution Approach 2:
The terminal performs self-service by independently decoding RRC messages from other RATs and identifying failure causes without requiring the base station to perform these complex operations. The terminal serves itself by handling the complex processing tasks that would otherwise burden the base station.
3Measurement precision
If the terminal stores RLF report information for extended periods to ensure accurate reporting, then the reporting accuracy is improved, but the storage time and memory requirements increase
Solution Approach 1:
The terminal performs preliminary decoding of RRC messages and identification of failure causes at the time of reception, storing only the extracted essential information rather than the complete RRC messages. This preliminary processing ensures that when reporting is needed, the terminal can provide accurate information without needing to retain data for extended periods.
Solution Approach 2:
The terminal extracts only the necessary failure cause information from RRC messages and stores this condensed data rather than storing complete messages. This extraction reduces the storage duration needed while maintaining reporting accuracy, as only the critical identified causes need to be retained.
Data Source
AI summary
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The present disclosure provides a method for supporting self-configuration and self-optimization in a wireless communication system.