MoCA LAN Diagnostic Analyzer for WiFi Segment Fault Isolation
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Solution Overview
Problem
Current diagnostic tools for MoCA networks are inadequate for troubleshooting video delivery issues, as they cannot analyze traffic or bandwidth in local area networks, nor can they test IP video services effectively, requiring skilled technicians and inconvenient on-site visits for network troubleshooting.
Innovation Solution
A testing device that automatically discovers IP addresses on a MoCA LAN, sends data packets to identify lost packets, and uses an expert system to analyze technical statistics, directing the debug and repair process, potentially reducing the need for on-site visits by deploying containerized tests or using a Flex device to emulate network components and isolate faults.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional diagnostic tools (digital voltage ohm meter, RF tester, optical loss meter, spectrum analyzer) are used to troubleshoot MoCA networks, then basic signal measurements can be obtained, but these tools cannot analyze traffic or bandwidth in local area networks and cannot test actual IP video service
Solution Approach 1:
The patent combines multiple diagnostic functions into a single MoCA-capable network analyzer. The device integrates MoCA protocol analysis, IP traffic monitoring, bandwidth measurement, and video service testing capabilities that were previously distributed across multiple separate tools. This merging enables comprehensive network diagnostics while maintaining ease of use through a unified interface.
Solution Approach 2:
The network analyzer is designed with universal functionality to handle diverse diagnostic tasks. It can simultaneously perform MoCA signal analysis, Ethernet traffic monitoring, Wi-Fi quality assessment, and IP video service testing. The device adapts to different network configurations and can diagnose issues across multiple protocol layers, making it versatile for various network troubleshooting scenarios.
2Measurement precision
If skilled technicians perform on-site network troubleshooting, then accurate diagnosis can be made, but this requires highly skilled labor and is inconvenient for customers
Solution Approach 1:
The network analyzer incorporates automated diagnostic routines that can independently identify and diagnose network issues without requiring highly skilled technicians. The device automatically performs network discovery, device identification, traffic analysis, and fault localization. It provides structured troubleshooting guidance and can autonomously execute test sequences, enabling less skilled personnel to perform accurate diagnostics while reducing the need for expert intervention.
Solution Approach 2:
The device implements comprehensive feedback mechanisms that continuously monitor network parameters and provide real-time diagnostic information. It collects data from multiple sources including MoCA signals, IP traffic flows, and device responses, then processes this information to generate actionable diagnostic results. The feedback loop enables the system to adapt its testing strategy based on observed network conditions and refine its diagnosis accordingly.
3Adaptability or versatility
If multiple set-top boxes and devices are serviced in the local network, then comprehensive coverage is achieved, but troubleshooting complexity increases
Solution Approach 1:
The network analyzer segments the diagnostic process into distinct phases: network discovery, device enumeration, individual device testing, and aggregate network analysis. It divides the complex task of troubleshooting multiple devices into manageable components, testing each set-top box and device independently while maintaining context of the overall network. This segmentation reduces complexity by isolating variables and enabling systematic progression through the diagnostic workflow.
Solution Approach 2:
The analyzer acts as an intermediary device that centrally manages diagnostics across multiple network devices. It mediates communication between various set-top boxes, recording devices, and network infrastructure components, coordinating tests and collecting results from all devices. This central mediation simplifies the troubleshooting process by providing a single point of control rather than requiring direct interaction with each individual device.
Data Source
AI summary
A testing method is provided for diagnosing faults in a multimedia over coax alliance (MoCA) local area network (LAN) including a WiFi segment. The method including, responsive to selection of a test sequence that includes testing of the WiFi segment, causing display of instructional images that depict how an operator couples the test hardware to a wireless component, invoking the test hardware to perform a test by automatically selecting, in dependence upon a problem generically identified by a user, a test and invoking the test, and automatically evaluating results returned by the test, without user interpretation of the results returned, to determine at least one of (i) whether to report a recommendation to replace/repair an identified component, and (ii) whether to (a) repeat the causing display of instructional images, (b) invoke the test hardware to perform an additional test and (c) automatically evaluate results returned by the additional test.