Radio Terminal Random Access Fallback for Feature Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current random access resource partitioning in 3GPP Release 17 features and feature combinations faces challenges such as unclear fallback operations when random access procedures fail, unclear selection of random access resources for Contention-Based RA, and inadequate reporting of feature-related information in random access reports.
Innovation Solution
The proposed solution involves a radio terminal that performs a first random access using a resource associated with a feature combination and, upon failure, falls back to a second random access using a resource associated with a feature subset included in the feature combination. Additionally, the terminal includes information about the feature or feature combination in a random access report upon failure and transmits this report to the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If random access resource partitioning is implemented for multiple features and feature combinations, then the network's ability to identify features early is improved, but the complexity of configuring all possible feature combinations increases
Solution Approach 1:
The patent segments the random access resources into different partitions, each associated with specific features or feature combinations. This allows the network to identify features early while managing configuration complexity through structured resource allocation rather than treating all features uniformly.
Solution Approach 2:
The patent allows UEs to indicate presence of specific features (RedCap, SDT, CovEnh, Slicing) in RACH preambles even if not all possible feature combinations are configured. This partial indication approach enables early feature identification without requiring configuration of every possible feature combination.
2Reliability
If fallback mechanisms are defined for random access failures, then the reliability of random access procedures is improved, but the complexity of determining fallback conditions increases
Solution Approach 1:
The patent implements feedback mechanisms where the network provides indications to the UE about random access success or failure. This feedback enables reliable fallback operations while simplifying the UE's decision-making process, as the UE simply follows network instructions rather than independently determining complex fallback conditions.
Solution Approach 2:
The patent enables UEs to autonomously determine when to perform fallback based on received network indications and configured parameters. The UE self-manages the fallback process by interpreting network feedback and selecting appropriate random access resources without requiring complex centralized control.
3Adaptability or versatility
If all possible feature combinations are configured in RACH resources, then the network can identify all features early, but the number of partitions and configuration burden increases significantly
Solution Approach 1:
The patent designs the RACH preamble structure to be universal, where each preamble can indicate multiple features (RedCap, SDT, CovEnh, Slicing) through a standardized indication mechanism. This multi-functional preamble design enables flexible feature support without requiring separate partitions for each feature combination.
Solution Approach 2:
The patent uses parameter changes in the RACH preamble structure to indicate different features and feature combinations. By modifying preamble parameters rather than creating entirely new resource partitions, the system achieves flexible feature support with reduced configuration burden.
Data Source
AI summary
A radio terminal (1) performs a first random access using a random access resource associated with a feature combination. If the first random access fails, the radio terminal (1) falls back to a second random access using a random access resource associated with a feature subset included in the feature combination. This helps, for example, to provide a fallback in the event of a failed random access procedure using a random access resource associated with a feature combination.