Operator-Controlled DSL System for User Preference Adaptation
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Solution Overview
Problem
DSL systems lack the capability to effectively identify and implement user preferences, leading to suboptimal configuration and user dissatisfaction due to the inability to adjust performance aspects based on customer needs.
Innovation Solution
An operator-controlled system that collects and analyzes user preference data, compares it to the operational space defined by the operator, and adjusts performance metrics to implement user preferences within the system's constraints, using methods such as surveys and Hidden Markov Models to determine feasible configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If DSL systems use fixed configuration based on channel conditions, then system stability is maintained, but user preference adaptation is lost
Solution Approach 1:
The system dynamically adjusts DSL configuration parameters based on user preferences while maintaining operational stability through controlled adaptation mechanisms. The operator-defined operational space provides stable boundaries within which dynamic adjustments occur, resolving the contradiction between adaptability and stability.
Solution Approach 2:
The system changes operational parameters (data rate, stability settings) based on user preferences within operator-defined limits. This allows the system to adapt to different user needs while maintaining reliability through constrained parameter adjustment ranges established by the operator.
2Ease of operation
If DSL systems implement comprehensive user preference collection and analysis, then user satisfaction improves, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary system component that handles user preference collection, analysis, and translation into operational parameters. This intermediary layer manages the complexity of preference processing while presenting a simplified interface to both users and core DSL system, resolving the contradiction between user satisfaction and system complexity.
Solution Approach 2:
The system implements feedback mechanisms where user preferences are collected, analyzed, and used to adjust DSL configuration. The feedback loop includes operator-defined operational spaces that constrain the feedback processing, allowing user satisfaction improvement while managing system complexity through structured feedback handling.
3Reliability
If DSL systems allow operator control over operational space, then system reliability is maintained, but user preference implementation flexibility is reduced
Solution Approach 1:
The patent segments the configuration space into operator-defined operational spaces and user preference adjustment areas. This segmentation allows operator control over critical reliability parameters while permitting user preference implementation within defined boundaries, resolving the contradiction between reliability maintenance and preference flexibility.
Solution Approach 2:
Different parts of the system configuration have different levels of control: operator-controlled critical parameters for reliability and user-adjustable preference parameters for flexibility. This local differentiation of control quality allows simultaneous maintenance of reliability through operator control and implementation of preference flexibility in non-critical areas.
Data Source
AI summary
Operator-controlled implementations of user preferences are provided when feasible. User preference data is obtained by the operator and compared to operational characteristics and parameters of a communication system, such as a DSL system, to determine whether one or more of the user preferences can be implemented in the communication system. When implementation of a user preference would violate operational rules of the system, or where implementation would adversely affect system operation, the preference need not be implemented. However, when a user preference can be implemented in the system without causing problems, the operator can implement (or permit another party to implement) the user preference to effect the user's desires. The user preference data can be obtained directly from users (for example, by surveys and other direct user feedback) or can be obtained indirectly (for example, by constructing a Hidden Markov Model that shows user preferences). The operator may collect the user preference data from a user set (for example, a single user or a plurality of users). The user preference data can be compared to 2 or more performance metrics that can be adjusted, to the extent feasible, to implement the user preference data.