WLAN Configuration Engine Matching Deployment Characteristics
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Solution Overview
Problem
Identifying a suitable network configuration for Wireless Local Area Networks (WLANs) that meets performance and cost criteria is challenging due to differences in deployment environments, as configurations suitable for one environment may not be applicable to another.
Innovation Solution
A system that determines a network configuration for a current deployment environment by comparing its characteristics to those of known environments, selecting and scaling network configurations from similar environments, and modifying them to meet the current environment's requirements, using a configuration engine and data repository to identify suitable network components and their configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If network configurations are selected based on known deployment environments, then the configuration process becomes more systematic and reusable, but the applicability to diverse deployment environments with different characteristics deteriorates
Solution Approach 1:
The patent segments the deployment environment into multiple characteristics (e.g., building type, floor area, user density, wireless requirements) and segments the configuration selection process into distinct steps: identifying environment characteristics, selecting matching known environments, retrieving their configurations, and modifying them as needed. This segmentation allows systematic reuse of configurations while adapting to specific environmental variations through characteristic-based matching and modification steps.
2Reliability
If network configurations are customized for each specific deployment environment, then the performance and suitability for that environment is improved, but the time and resources required for configuration deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-identifying and storing network configurations for multiple known deployment environments in advance. When a new deployment is required, the system retrieves and adapts these pre-prepared configurations rather than creating them from scratch, significantly reducing configuration time while maintaining suitability through characteristic-based matching and targeted modifications.
Solution Approach 2:
The system creates copies of proven network configurations from known deployment environments and adapts them for new deployments. Instead of designing unique configurations each time, the patent copies existing working configurations and modifies them based on the specific characteristics of the target environment, balancing customization needs with time efficiency.
3Productivity
If a standardized network configuration is used across all deployment environments, then the implementation speed is improved, but the performance optimization for specific environments deteriorates
Solution Approach 1:
The patent creates a universal configuration selection system that serves multiple deployment environments through a single platform. By storing configurations for various known environments and enabling characteristic-based matching, the system provides universal access to optimized configurations across different scenarios, allowing rapid deployment while maintaining environment-specific performance through intelligent selection and modification.
Data Source
AI summary
Operations include determining a network configuration for a current deployment environment based on network configurations of known deployment environments that share one or more characteristics with the current deployment environment.