October 2025 LiveStream Notes
By Tom Carpenter On 10/20/2025
Notes for the October 2025 LiveStream
LiveStream Archive on CWNPTV (YouTube)
1. RAID: Root Cause Anomaly Identification and Diagnosis
As wireless professionals, we're all familiar with the challenge: your monitoring system alerts you that something's wrong with network performance, but figuring out why can take hours of packet capture analysis. A new research project called RAID (Root cause Anomaly Identification and Diagnosis) is tackling this problem head-on using machine learning.
What is RAID?
RAID is both a dataset and a methodology developed by researchers at Université de Lorraine, CNRS, Inria, LORIA, and Orange Innovation. Unlike traditional anomaly detection that just tells you "something's broken," RAID identifies the specific root cause of network impairments.
Key capabilities:
- Detects network anomalies using contrastive learning
- Classifies specific impairment types (interference, hidden nodes, excessive retransmissions)
- Provides actionable diagnostic information for troubleshooting
- Uses real-world labeled wireless network data
Resources:
- RAID Paper: hal.science/hal-05219367v1
- GitHub Repository: github.com/joelromanky/raid
2. Learning with LLMs: Research Proves What We Thought
For years at CWNP, we've advocated for experiential, hands-on learning over passive consumption of information. Now, emerging research on Large Language Models (LLMs) in education is validating what effective instructors have known all along: how you learn matters just as much as what you learn.
What the Research Shows
Multiple studies from 2024-2025 are demonstrating that LLMs, when used correctly, can significantly enhance learning outcomes by reducing cognitive load and providing adaptive scaffolding.
Key findings:
- LLM-based scaffolding substantially improves student performance when properly guided
- Students experience reduced cognitive load while maintaining higher retention
- Interactive dialogue with LLMs produces better outcomes than passive use
- The "leapfrogging effect" suggests LLMs can serve as permanent learning scaffolds when integrated thoughtfully
- Prompting strategies and interaction approaches directly impact learning effectiveness
Research Resources:
- Impact of Guidance and Interaction Strategies: arxiv.org/pdf/2310.13712v3
- Leapfrogging Effect Hypothesis: papers.ssrn.com/sol3/papers.cfm?abstract_id=5230565
- Dialogic Pedagogy for LLMs: arxiv.org/pdf/2506.19484v1
- LLM-Based Scaffolding Impact: hal.science/hal-05294878v1
- LLM Prompting on Students' Learning: mdpi.com/2813-4346/4/3/31
3. Building Wi-Fi Admin Apps in Gemini: Sneak-Peek of Friday's Webinar
As wireless professionals, we're constantly juggling complex requirements, validating designs, and generating documentation. We recently explored how Gemini's AI capabilities could streamline these workflows by building custom HTML applications that run directly within the Gemini environment.
What We Built
We developed two interconnected tools specifically for wireless network administrators:
- Requirements Tracker - Full-featured management system with hierarchical organization (Project → Requirement Sets → Individual Requirements), IEEE 29148-2018 compliance, and real-time editing.
- Requirements Dashboard - Visual overview providing quick-reference interface for stakeholder reviews with clean, professional presentation.
4. News Rundown
- Samsung Faces $445.5 Million Patent Infringement Verdict for Wireless Tech
- TP-Link Achieves First Wi-Fi 8 Connection in Breakthrough Test
- Verizon Nationwide Outage Exposes Wireless Infrastructure Vulnerabilities
- Neutral Host Indoor 5G and Wi-Fi 7 Demonstrations Show Convergence of Enterprise Wireless
5. Featured Podcast of the Month
Heavy Wireless Podcast: Deep technical dives into Wi-Fi, wireless tools, and certifications, hosted by Keith Parsons (CWNE #3). Covers design, standards, and testing with a practical, engineer-first perspective.
Tagged with: Machine Learning, AI, LLM, Generative AI, LiveStream
Blog Disclaimer: The opinions expressed within these blog posts are solely the author’s and do not reflect the opinions and beliefs of the Certitrek, CWNP or its affiliates.