Auto-detecting AxC Mapping in CPRI Links
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manual configuration of antenna container mappings in CPRI links for network testing and monitoring is complex, error-prone, and time-consuming, especially when mixed-mappings are used, as existing technologies lack automated detection methods.
Innovation Solution
A system and method for automatically detecting antenna container mappings within a CPRI link using a raw capture of CPRI data, which iteratively determines the most probable mapping parameters such as offset, sample width, and encoding by analyzing bit states and frequency content, employing machine learning models to validate the extracted signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration of antenna container mappings is used, then flexibility in handling mixed-mappings is achieved, but configuration complexity and error rate increase significantly
Solution Approach 1:
The system performs self-configuration by automatically detecting mapping parameters (offset, width, encoding) from the CPRI data stream itself. The auto-detection algorithm analyzes the raw captured frames and identifies AxC locations and parameters without requiring manual input, making the system adapt to mixed-mappings autonomously.
Solution Approach 2:
The system dynamically determines mapping parameters (offset, width, encoding) based on the actual data stream characteristics. By changing from fixed manual configuration to dynamic parameter detection, the system adapts to different mapping schemes automatically, handling both homogeneous and heterogeneous AxC configurations.
2Adaptability or versatility
If manual configuration of antenna container mappings is used, then flexibility in handling mixed-mappings is achieved, but time consumption increases
Solution Approach 1:
The system performs mapping detection in advance during the initialization phase, before actual network operations begin. By pre-configuring the mapping parameters through automatic detection, the system eliminates time-consuming manual configuration during deployment and reduces setup time significantly.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated electronic detection algorithms. The auto-detection system uses signal processing and pattern recognition to identify mapping parameters, substituting human operators with algorithmic analysis, thereby dramatically reducing configuration time.
3Productivity
If automated detection is implemented, then configuration time and complexity are reduced, but the system must handle diverse mapping variations
Solution Approach 1:
The auto-detection algorithm is designed with universal functionality to handle multiple mapping schemes simultaneously. It can detect and adapt to homogeneous mappings, heterogeneous mappings, mixed-mappings, and multiplexed streams using the same core detection mechanism, making the system versatile across different network configurations.
Solution Approach 2:
The system employs dynamic detection capabilities that adapt to varying mapping configurations in real-time. The algorithm can identify and adjust to different offset positions, width variations, and encoding schemes within the same data stream, providing flexible handling of diverse mapping variations through dynamic parameter identification.
Data Source
AI summary
A device and method for providing a mapping of antenna data into antenna containers within a common public radio interface (CPRI) signal exchanged between a radio equipment controller (REC) and at least one radio equipment (RE) are described. The method comprises finding a location of activity within the multiple CPRI basic frames; extracting a candidate antenna signal from the multiple CPRI basic frames starting from the location using a set of mapping parameters used in a standard antenna signal; comparing a candidate frequency content of the candidate antenna signal to a standard frequency content of the standard antenna signal to derive a validity score; associating the set of mapping parameters of the standard antenna signal to the observed mapping if the validity score meets predetermined conditions; and causing a report of the observed mapping.