RACH Measurement Reporting for Root Cause Analysis
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Solution Overview
Problem
Current measurement systems for Random Access (RA) procedures in LTE networks do not adequately report RACH failures, especially when a UE is in RRC_CONNECTED mode, and do not provide sufficient data for root cause analysis of RACH performance issues.
Innovation Solution
A method for collecting and reporting detailed measurements from both UE and eNB regarding RA attempts, including failure conditions and performance metrics, to facilitate comprehensive root cause analysis and optimization of RACH performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing RACH measurement reporting is used, then the system maintains simple reporting structure, but it cannot provide sufficient data for root cause analysis of RACH failures
Solution Approach 1:
The patent segments the RACH measurement reporting into multiple distinct components: per-attempt measurements (preamble transmission, response reception, contention detection), aggregated statistics (total attempts, success rates), and failure-specific details (failure causes, retry information). This segmentation allows comprehensive failure information to be captured without creating a monolithic complex structure, as each segment serves a specific analytical purpose.
Solution Approach 2:
The patent adds a new dimension to RACH reporting by introducing detailed per-attempt measurement data and failure analysis dimensions that were previously absent. Instead of single-aggregate metrics, the system now reports across multiple dimensions including time-based patterns, failure type categorization, and contextual information about each RACH attempt, enabling root cause analysis through multi-dimensional data examination.
2Measurement precision
If detailed per-attempt measurements are collected, then complete root cause analysis becomes possible, but the measurement and reporting complexity increases
Solution Approach 1:
The patent applies preliminary action by having the UE collect and store detailed measurement data for each RACH attempt as it occurs, including preamble transmission details, response reception status, and contention detection information. This preliminary data collection during the actual RACH attempts enables precise retrospective analysis without requiring complex real-time measurement mechanisms, as the measurements are captured automatically during normal operation.
Solution Approach 2:
The patent implements feedback mechanisms where the UE monitors its own RACH attempts and collects measurement data, then reports this data back to the network. The network can use this feedback to identify patterns, adjust parameters, and improve RACH performance. This feedback loop enables precise measurement while managing complexity through automated data collection and structured reporting protocols.
3Reliability
If comprehensive RACH statistics are reported including all failure conditions, then overall RACH performance monitoring is improved, but the reporting overhead increases
Solution Approach 1:
The patent applies partial action by reporting comprehensive RACH statistics selectively rather than continuously. The system collects all detailed measurements locally but reports aggregated statistics and failure summaries at optimized intervals or triggered by specific conditions (such as handover events or connection establishment). This approach provides sufficient monitoring data for reliability assessment while avoiding the energy overhead of continuous detailed reporting.
Solution Approach 2:
The patent applies discarding and recovering by selectively filtering and aggregating detailed per-attempt measurements into condensed statistical summaries for reporting. Individual measurement details that are not critical for overall performance assessment are discarded in the reporting phase, while the essential aggregated statistics and failure patterns are recovered and transmitted. This reduces reporting overhead while maintaining the reliability needed for performance monitoring.
Data Source
AI summary
A technique for collecting and reporting measurements related to Random Access, RA, attempts from a user equipment, UE, towards an evolved node B, eNB, is disclosed. In a first method aspect, the method is performed in the UE and comprises the steps of collecting at least one measurement from each single one of a plurality of the RA attempts, and reporting the collected measurements to one of the eNB and a management entity. In a second method aspect, the method is performed in the eNB and comprises the steps of collecting at least one measurement from each single one of a plurality of the RA attempts, and reporting the collected measurements to the management entity.