Random Access Procedure Logging Classification for Wireless Networks
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Solution Overview
Problem
Current wireless communication systems, particularly in LTE and 5G networks, face challenges in efficiently managing and reporting random access procedures, especially in distinguishing between 2-step and 4-step random access attempts and logging relevant information for network optimization.
Innovation Solution
The proposed solution involves an apparatus and method that classify random access procedures into 2-step and 4-step categories, receive a random access report configuration from a network node indicating quantity limitations for logging random access information, and log this information accordingly to enhance network performance and reduce errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If random access procedures are logged without classification, then complete random access information is captured, but processing complexity and memory requirements increase
Solution Approach 1:
The patent segments random access procedures into two distinct categories: 2-step random access procedures and 4-step random access procedures. This segmentation allows the UE to log information separately for each procedure type, reducing processing complexity while maintaining complete information capture. The classification is performed based on the initial random access attempt type, enabling targeted logging strategies for each category.
2Quantity of substance
If quantity limitation is imposed on random access logging, then memory usage is reduced, but information completeness may be compromised
Solution Approach 1:
The patent applies different quantity limitations to different categories of random access procedures based on their local characteristics. The network can configure separate quantity limits for 2-step and 4-step procedures, allowing optimization of memory usage while preserving essential information for each procedure type. This localized approach enables tailored logging strategies that balance memory constraints with information completeness for each category.
3Reliability
If detailed random access information is logged for analysis, then network optimization is improved, but overhead and processing time increase
Solution Approach 1:
By segmenting random access procedures into 2-step and 4-step categories, the system can apply selective logging strategies that reduce processing time. The UE can log detailed information for procedures that require analysis while using simpler logging for routine procedures, thereby improving network optimization capability without excessive processing overhead.
Solution Approach 2:
The patent enables dynamic adjustment of logging parameters based on procedure type and network configuration. The quantity limitation and information selection can be changed according to the specific requirements of 2-step versus 4-step procedures, allowing optimization of the balance between detailed analysis and processing efficiency.
Data Source
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AI summary
A method may include classifying, by a user equipment, random access procedures of the user equipment into either a first category of random access procedures that are initiated with a 2-step random access attempt, or a second category of random access procedures that are initiated with a 4-step random access attempt; receiving, by the user equipment from a network node, a random access report configuration indicating at least a quantity limitation for logging random access information in a random access report for random access procedures of at least one of the first category of random access procedures or the second category of random access procedures; and logging, by the user equipment, random access information in the random access report for one or more random access procedures of at least one of the first category or the second category, in accordance with the random access report configuration.