RACH Impacted Cell Detection Using KPI Threshold Analysis
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Solution Overview
Problem
Conventional methods for identifying and analyzing Random-Access Channel (RACH) impacted cells in wireless networks are labor-intensive, time-consuming, and fail to automatically detect root causes, leading to inefficient communication and prolonged call initiation issues.
Innovation Solution
An electronic device and method that automatically detects RACH impacted cells by analyzing RACH Key Performance Indicators (KPI) over a predefined time period, determines RACH counters, and generates reports to identify and optimize network performance using mitigation plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of KPI data is used to identify RACH impacted cells, then labor usage and analyzing time increase, but identification quality and productivity decrease
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated electronic device that processes KPI data through defined algorithms. The device automatically calculates RACH counters, compares them against thresholds, and generates reports without human intervention, thereby improving both productivity and identification quality simultaneously.
Solution Approach 2:
The system enables self-service by allowing the electronic device to autonomously perform the entire RACH impacted cell identification process. The device receives KPI data, processes it through predetermined logic, and generates reports independently, eliminating the need for manual labor while maintaining high identification quality.
2Loss of information
If manual analysis methods are used, then labor usage increases, but the ability to identify root causes is lost
Solution Approach 1:
The patent replaces manual analysis with an automated system that not only identifies RACH impacted cells but also determines root causes by analyzing RACH failure patterns and comparing them against known cause signatures. This automated approach preserves root cause identification capability while eliminating manual labor requirements.
3Productivity
If automated detection is implemented, then productivity and response time improve, but system complexity increases
Solution Approach 1:
The patent segments the complex automated detection system into distinct functional modules: a receiving unit for KPI data, a processing unit for RACH counter calculation, a comparison unit for threshold evaluation, and a reporting unit for result generation. This modular segmentation manages system complexity while maintaining high productivity and automated response capabilities.
Data Source
AI summary
Embodiments herein disclose a method and electronic device (200) for determining a Random-Access Channel (RACH) impacted cell (400) in a wireless network (100), wherein the method comprises receiving, by the electronic device (300), RACH KPI of each cell of a plurality of cells (400A, 400B) for a predefined time period. The method further determines a RACH counter indicating a number of RACH attempts made for the predefined time period based on the RACH KPI for each cell of the plurality of cells (400A, 400B). The method further determines whether the number of RACH attempts determined for the predefined time period meets a RACH counter threshold for each cell of the plurality of cells (400A, 400B) to detect RACH impacted cell (400) or non-impacted cell. The method further provides a mitigation plan for the RACH impacted cell to optimize the performance of the wireless network.