AAL2 Channel Detection in UTRAN Networks
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Solution Overview
Problem
Manual identification and tracking of ATM Adaption Layer type 2 (AAL2) virtual connections in UMTS Terrestrial Radio Access Networks (UTRAN) are impractical due to the complexity and dynamic nature of these virtual connections, making network management and quality of service monitoring challenging.
Innovation Solution
A method and system that identify AAL2 channels by matching User Equipment (UE) identities associated with Random Access Channel (RACH) and Forward Access Channel (FACH) messages, and by correlating Access Link Control Application Protocol (ALCAP) messages with Dedicated Channel (DCH) keys, storing information in a database to validate and confirm channel associations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual identification and tracking methods are used for AAL2 virtual connections, then implementation simplicity is maintained, but network management effectiveness and quality of service monitoring capability deteriorate due to the complexity and dynamic nature of virtual connections
Solution Approach 1:
The patent replaces manual mechanical identification methods with an automated electronic system that captures and processes ATM cell data. The system uses electronic monitoring of AAL2 protocol fields (VPI, VCI, CID) to automatically identify and track virtual connections, substituting human operators with computational processes that can handle the dynamic nature of network connections effectively.
Solution Approach 2:
The patent introduces an intermediary monitoring system that sits between the ATM network infrastructure and network management tools. This intermediary captures raw ATM cell data, extracts relevant identification fields, and presents processed connection information to network management systems, thereby bridging the gap between complex virtual connections and manageable network oversight.
2Productivity
If the number of virtual connections increases as the system expands, then network coverage and capacity improve, but the feasibility of manual identification and tracking deteriorates
Solution Approach 1:
The monitoring system performs self-service by automatically capturing, processing, and organizing connection information without requiring manual intervention. The system autonomously extracts identification fields from ATM cells, correlates virtual connection data, and maintains tracking records, enabling the network to scale while keeping tracking complexity manageable through automated self-management.
Solution Approach 2:
The patent transforms the management approach by changing from manual parameter tracking to automated parameter extraction and correlation. The system monitors changes in key parameters (VPI, VCI, CID) and automatically updates connection tracking based on these parameter variations, enabling efficient management of large numbers of virtual connections as the network expands.
3Measurement precision
If automated systems are implemented to identify and track AAL2 channels, then network management precision and quality of service monitoring improve, but system complexity increases
Solution Approach 1:
The patent segments the complex task of connection tracking into distinct functional modules: ATM cell capture, field extraction (VPI, VCI, CID), connection correlation, and data presentation. Each module handles a specific aspect of the identification process, improving measurement precision while managing system complexity through functional decomposition and specialized processing stages.
Data Source
AI summary
A system and method for detecting channels in a network using messages passing through the network is provided. An embodiment comprises detecting AAL2 channels communicating between a Node B and an radio network controller and also between two radio network controllers. In the case of communication between a NodeB and a radio network controller, the AAL2 channels are detected by matching pairs of Random Access Channel (RACH) and Forward Access Channel (FACH) associated with a user equipment identity along with a Dedicated Channel (DCH) until the AAL2 channels present between the Node B and the RNC are determined to a desired level of confidence. In the case of communication between two radio network controllers, only the DCH channels need to be detected to completely detect the AAL2 channels.