Secondary Cell Contribution Analysis in Carrier Aggregation
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Solution Overview
Problem
Existing methods for detecting and analyzing low or zero-contributed secondary cells in carrier aggregation (CA) are manual, leading to reduced productivity, increased labor usage, and poor quality in identifying such cells, with prolonged analysis times.
Innovation Solution
An electronic device and method that automatically analyze Key Performance Indicators (KPIs) to determine a CA offload ratio, enabling detection of zero, low, or high contributions of secondary cells, and provide mitigation plans to optimize their contribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual methods are used to detect and analyze low contributed secondary cells, then labor usage increases and analysis quality decreases, but automation extent is low
Solution Approach 1:
The system automatically performs self-diagnosis by comparing CA KPIs against thresholds to identify low-contributed secondary cells without human intervention. The electronic device autonomously executes the analysis workflow, from data collection to mitigation plan generation, enabling the system to serve itself in detecting and resolving CA issues.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated electronic processing. Instead of human operators manually examining KPI data, the system uses electronic devices to automatically collect, process, and analyze CA performance data, substituting human labor with automated computational mechanisms.
2Productivity
If manual analysis of CA KPIs is performed, then productivity decreases and analysis time increases, but measurement precision of cell contribution is adequate
Solution Approach 1:
The system continuously collects and pre-processes CA KPI data in the background before issues arise. By maintaining ready-to-analyze data sets and pre-configuring threshold comparisons, the system eliminates manual data preparation time and enables immediate analysis when secondary cell contribution problems occur.
Solution Approach 2:
The system implements continuous feedback loops where CA performance data is constantly monitored, analyzed against thresholds, and used to automatically generate mitigation plans. This real-time feedback mechanism eliminates manual analysis delays and enables rapid identification and resolution of low-contributed secondary cells.
3Measurement precision
If manual detection methods are used, then labor usage increases, but the quality of identifying low or zero contributed secondary cells is poor
Solution Approach 1:
The system transforms complex multi-parameter CA performance data into simplified binary classifications (low contribution vs. normal contribution) by comparing KPIs against predetermined thresholds. This parameter transformation approach enhances measurement precision by converting continuous performance metrics into clear, actionable identification criteria for low-contributed secondary cells.
Data Source
AI summary
Embodiments herein disclose a method and electronic device (200) for optimizing a contribution of a secondary cells (400) under carrier aggregation (CA) in a wireless network. The method further includes receiving a plurality of CA Key Performance Indicators (KPIs) of the secondary cells (400) for a period of time. The method further includes determining a CA offload ratio of the secondary cells (400) and a primary cell associated with the at least one secondary cell based on the plurality of CA KPIs. The method further includes detecting a contribution of the secondary cells (400) including zero contribution, low contribution or high contribution in the wireless network based on the determined the CA offload ratio. The method further includes providing mitigation plans and high load plans based on the contribution of the secondary cells.