Remote Network Evaluation Using Signal Analysis
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Solution Overview
Problem
Monitoring and diagnosing issues in content delivery services, such as determining the presence of filters, amplifiers, and connection integrity in home networks, is challenging due to the complexity of these systems and the difficulty in remote detection of performance characteristics.
Innovation Solution
Implementing a remote monitoring system that uses client-deployed devices to analyze network data and employ methods like Complimentary Cumulative Density Function (CCDF) generation and Error Vector Magnitude (EVM) probes to identify impairments and performance issues in home networks, allowing for remote evaluation and remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated test instrumentation is deployed to monitor network equipment and performance, then measurement precision and reliability improve, but device complexity and cost increase
Solution Approach 1:
The patent enables network devices to perform self-diagnosis and self-monitoring by analyzing their own operational data and transmission characteristics. The system automatically detects impairments, identifies equipment status, and evaluates network performance without requiring external test instruments, thereby reducing device complexity while maintaining measurement precision.
Solution Approach 2:
The patent introduces signal analysis methods that use existing network transmissions as intermediaries to carry diagnostic information. By analyzing characteristics of regular network signals, the system can infer network health status, equipment presence, and performance metrics without adding dedicated test equipment, thus resolving the contradiction between measurement precision and device complexity.
2Reliability
If comprehensive network monitoring is implemented to detect all equipment and impairments, then reliability improves, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent segments the network monitoring function into distributed analysis points across multiple devices. Each device independently analyzes local network characteristics and reports findings, breaking down the complex task of comprehensive monitoring into manageable segments that can be processed locally and aggregated, thereby reducing the overall difficulty of detection and measurement while improving reliability.
Solution Approach 2:
The patent implements monitoring of key network characteristics and critical impairment indicators rather than attempting to measure every possible parameter. By focusing on the most significant diagnostic signals and using inference techniques, the system achieves high reliability in detecting network issues without the overwhelming complexity of comprehensive measurement of all network parameters.
3Device complexity
If remote evaluation methods are used to reduce dedicated test instrumentation, then device complexity reduces, but measurement precision may deteriorate
Solution Approach 1:
The patent replaces physical test instrumentation with signal-based remote evaluation methods. By using analysis of existing network transmissions and electromagnetic characteristics, the system can remotely determine network health, equipment status, and performance metrics without physical contact or dedicated measurement devices, thereby reducing device complexity while maintaining measurement precision through advanced signal processing.
Data Source
AI summary
Systems, methods, and apparatuses for remote evaluation of content delivery service are described. A remote computing device may determine the existence and performance characteristics of devices and equipment at a premises by monitoring and analyzing data from a network associated with the premises to determine the presence or absence of equipment, compatibility issues, and performance quality.