Dynamic Line Management Segmentation for Service Provider DSL Profiles
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Solution Overview
Problem
Current Dynamic Line Management (DLM) techniques for DSL connections do not account for service-provider-associated categories when updating profiles, leading to a one-size-fits-all approach for network operators, which limits the ability to offer distinct broadband services to end-users.
Innovation Solution
Implementing a method where data connection profiles for DSL connections are determined based on performance data and category-specific algorithms, allowing for distinct profiles for each service provider, enabling tailored stability levels and service offerings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single DLM engine is used for all service providers, then device complexity is reduced and ease of operation is improved, but adaptability to different service provider requirements deteriorates
Solution Approach 1:
The system segments the DLM functionality by maintaining separate DLM engines for different service providers. Each service provider has its own DLM engine that independently manages and updates profiles according to that provider's specific requirements and algorithms, eliminating the need for a single complex engine to handle all providers.
Solution Approach 2:
Each service provider's DLM engine is customized with local quality - using provider-specific profile determination algorithms and parameters tailored to that provider's network characteristics and service requirements. This allows each engine to be optimized for its specific context rather than being a generic solution.
2Adaptability or versatility
If category-specific profile determination algorithms are implemented, then service differentiation and adaptability are improved, but device complexity and processing overhead increase
Solution Approach 1:
The profile determination process is segmented into multiple category-specific algorithms, each handling a particular type of service or line category. This segmentation allows complex differentiation logic to be divided into manageable, specialized components rather than one monolithic system.
Solution Approach 2:
Service lines are pre-categorized into different categories based on their characteristics and requirements. This preliminary classification enables the system to select the appropriate profile determination algorithm in advance, avoiding the need for complex real-time analysis and reducing processing overhead during profile updates.
Data Source
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AI summary
A method and corresponding device for determining a data connection profile for a data connection (15) between one of a plurality of end-user devices (14, 16, 18) and an aggregation transceiver device (24, 34), the data connection belonging to one of a plurality of predetermined categories, each category being associated with one of a plurality of service providing entities (62, 64, 66), the method comprising receiving performance data indicative of the performance of a data connection; receiving an entity identifier indicative of one of said plurality of service providing entities, and determining in dependence thereon the category to which the data connection belongs; and determining a data connection profile for the data connection in dependence on the performance data and on the category so-determined, the data connection profile specifying a set of values for one or more parameters associated with the data connection.