Random Access Statistical Reporting for Parameter Optimization
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Solution Overview
Problem
Existing random access procedures in mobile communication lack distinction between types of random access, hindering optimization of parameters on the network side, which leads to inefficient resource consumption and signaling overhead.
Innovation Solution
A method and device for reporting random access statistical information that includes acquiring and reporting type-specific information to a base station, allowing for optimized parameter adjustment in random access procedures, such as ordinary, system information request, and beam failure recovery random access, by determining the necessary statistical information based on configuration and acknowledgement signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If random access procedures are treated uniformly without distinction between types, then the system structure remains simple, but parameter optimization on the network side is hindered and resource consumption becomes inefficient
Solution Approach 1:
The patent segments random access procedures into different types (contention-based and non-contention-based) and collects statistical information separately for each type. This segmentation enables the network to optimize parameters for each random access type independently, improving adaptability while maintaining manageable system complexity through structured classification.
Solution Approach 2:
The patent applies local quality by collecting and analyzing statistical information specific to each random access type (e.g., preamble transmission success rates, timing differences) rather than using uniform statistics for all random access procedures. This allows tailored parameter optimization for each type while maintaining overall system simplicity.
2Adaptability or versatility
If statistical information is collected for all random access types, then parameter optimization is improved, but signaling overhead and resource consumption increase
Solution Approach 1:
The patent extracts only the necessary statistical information for each random access type (such as preamble transmission success rates and timing differences) rather than collecting all possible random access statistics. This extraction approach optimizes parameters effectively while minimizing signaling overhead by including only essential data elements.
Solution Approach 2:
The patent applies partial action by collecting statistical information for specific random access types based on network needs and configuration, rather than universally collecting statistics for all possible random access procedures. This selective collection optimizes the balance between parameter optimization capability and signaling overhead reduction.
3Productivity
If type-specific statistical information is reported, then resource consumption is reduced and optimization is improved, but the complexity of information collection and processing increases
Solution Approach 1:
The patent segments the random access procedure into distinct types and implements separate statistical information collection and processing mechanisms for each type. This segmentation simplifies the overall processing complexity by handling each type independently through standardized templates, while improving resource consumption efficiency through targeted data collection.
Solution Approach 2:
The patent changes the parameters of statistical information collection based on random access type, adapting the type of data collected (e.g., different metrics for contention-based versus non-contention-based access). This parameter adaptation improves resource consumption efficiency by collecting only relevant data while managing processing complexity through systematic parameter variation.
Data Source
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AI summary
A method and device for reporting random access statistical information, the reporting method comprising: acquiring statistical information for random access; and reporting the statistical information and category information to a base station, the category information being used to indicate a random access category corresponding to the statistical information. By means of reporting statistical information for different random access categories, a terminal may optimize parameters for each random access process, thereby reducing the consumption of resources and signaling overhead, and improving the efficiency of random access.