Network Analyser Module for QoS Compliance in DSL Access Networks
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Solution Overview
Problem
Network operators face challenges in determining if new applications, such as high-bandwidth rich media services, will meet recommended Quality of Service (QoS) values in DSL and ADSL networks, as existing Dynamic Line Management (DLM) only considers physical layer parameters and not higher-layer requirements like delay and error rates.
Innovation Solution
A method and device that simulate higher network layer behavior to generate simulation data on performance parameters, providing advice signals on compatibility with QoS requirements, and adjust physical layer configuration parameters to meet specific QoS demands for applications like VoIP, video, and gaming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If DLM only considers physical layer parameters, then device complexity is reduced and ease of operation is improved, but the ability to determine QoS compliance for higher-layer applications deteriorates
Solution Approach 1:
The patent segments the analysis into two distinct parts: physical layer parameter collection (existing DLM functionality) and higher-layer simulation (new functionality). The network analyser module separates measurement of actual physical parameters from simulation of application-layer behavior, allowing each to be optimized independently while working together to solve the QoS determination problem.
Solution Approach 2:
The patent introduces a simulation component as an intermediary between physical layer measurements and QoS assessment. This simulation layer acts as a mediator that translates physical layer parameters into predicted higher-layer performance metrics, enabling QoS evaluation without directly measuring application-layer parameters.
2Measurement precision
If physical layer parameters only are measured, then measurement precision for physical conditions is improved, but the ability to assess application-level QoS deteriorates
Solution Approach 1:
The patent creates a virtual copy or simulation model of the network application behavior based on physical layer parameters. Instead of losing information about higher-layer performance, the system generates simulated performance data that mirrors what would be observed at the application layer, preserving the necessary information for QoS assessment without direct measurement.
Solution Approach 2:
The patent performs preliminary simulation of application behavior before actual deployment or based on current physical conditions. By simulating higher-layer performance in advance using collected physical parameters, the system predicts QoS outcomes before they manifest in actual application operation, enabling proactive assessment.
3Measurement precision
If simulation of higher network layers is added, then QoS assessment capability is improved, but device complexity increases
Solution Approach 1:
The network analyser module is designed with multi-functionality, serving both as a physical layer parameter collector (existing DLM function) and as a higher-layer simulation engine (new function). This universal device performs multiple functions - measuring physical parameters, simulating application behavior, and assessing QoS - thereby improving QoS assessment capability without requiring entirely separate systems for each function.
4Loss of information
If application-specific QoS simulation is implemented, then information completeness for service deployment is improved, but processing time and complexity increase
Solution Approach 1:
The patent implements partial simulation focused specifically on the higher-layer aspects needed for QoS assessment, rather than simulating entire application workflows. By performing only the necessary simulation - translating physical parameters into predicted application performance metrics - the system achieves sufficient information completeness for service deployment decisions without the excessive processing time that would result from full application simulation.
Data Source
AI summary
A method for network analysis in an access network (1) in connection with a data transmission network, in particular an xDSL network, with a plurality of subscriber lines (4.1-4.3). The method comprising the step of collecting data on physical layer operational parameters ({φoi}) of at least one subscriber line (4.1-4.3) and the steps of simulating a behavior of higher network layers based on said collected data when deploying at least one application (6.1-6.3) on said subscriber line (4.1-4.3); generating data on higher layer performance parameters for said application (6.1-6.3); and generating an advice signal (AS) based on said data and indicative of the compatibility of the physical layer/application couple with predetermined Quality-of-Service (QoS) requirements for said application (6.1-6.3). Thus, the proposed method provides network operators with information concerning the question if a given service application (6.1-6.3) will run on a respective data transmission (core and access) network (1, 1′) in accordance with the QoS values recommended for said application (6.1-6.3), in particular a high-bandwidth rich media service type application, e.g. a triple-play service.