Convolutional Neural Networks for Proactive Network Management
By Jude Ferreira, Maher Harb, Karthik Subramanya, Bryan Santangelo & Dan Rice, Comcast
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2020 |
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
|
2019 |
Full Scale Deployment of PMA
By Maher Harb, Bryan Santangelo, Dan Rice & Jude Ferreira, Comcast
|
2020 |
Detection and Classification of OFDMA Spectrum Impairments by Machine Learning
By Jude Ferreira, Comcast; Kevin Dugan, Comcast; Maher Harb, Comcast; Mike O’Dell, Comcast; Larry Wolcott, Comcast
|
2023 |
Deploying PMA-Enabled OFDMA in Mid-Split and High-Split
By Maher Harb, Dan Rice, Kevin Dugan, Jude Ferreira, Robert Lund; Comcast
|
2022 |
How Network Topology Impacts Rf Performance: A Study Powered By Graph Representation Of The Access Network
By Maher Harb, Karthik Subramanya, Ramya Narayanaswamy, Sanket Walavalkar & Dan Rice, Comcast
|
2021 |
Practical Implementation of Profile Management Application
By Brady Volpe, NimbleThis and The VolpeFirm
|
2021 |
Towards Fully Automated HFC Spectrum Management
By Jay Zhu, Comcast; Maher Harb, Comcast; Jeff Howe, Comcast; Chad Humble, Comcast; Dan Rice, Comcast
|
2023 |
A Deep Learning Approach for Detecting RF Spectrum Impairments and Conducting Root Cause Analysis
By Kevin Dugan, Justin Evans, Maher Harb; Comcast
|
2022 |
Data Collection, Interpretation Methodologies, and Challenges for Proactive Network Maintenance
By James Medlock, Akleza, Inc.; Ron Hranac, SCTE; Allen Maharaj, Rogers; Alexander Podarevsky, Promptlink Communications; Jason Rupe, CableLabs; Foad Towfiq, Promptlink Communications; Brady Volpe, Volpe Firm
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2023 |
What Gets Measured Gets Done / What Gets Analyzed Gets Transformed: Analytics for a Wider/Deeper Network View
By Venk Mutalik, Dan Rice, Karthik Subramanya & Jon-en Wang, Comcast
|
2018 |
Accounting for Every MHz of Bandwidth: Data & Algorithms for Artifact Discovery and Close-Packing of QAMs in Support of Spectrum Activation
By Maher Harb, Comcast; Wenlong Shen, Comcast; Matt Stehman, Comcast; Sanket Walavalkar, Comcast; Dan Rice, Comcast
|
2023 |
Photon Avatars in the Comcast Cosmos: An End-to-End View of Comcast Core, Metro and Access Networks
By Venk Mutalik, Steve Ruppa, Fred Bartholf, Bob Gaydos, Steve Surdam, Amarildo Vieira, Dan Rice; Comcast
|
2022 |
Optimizing DOCSIS 3.0 Configuration in the Upstream through Applied Reinforcement Learning
By Kevin Dugan, Maher Harb, Dan Rice & Robert Lund, Comcast
|
2021 |
Access Network Data Analytics
By Karthik Sundaresan & Jay Zhu, CableLabs
|
2017 |
Employing Neural Networks for Improved Root Cause Analysis in Service Provider Clouds
By Helen Zeng, Ph.D. & Robert McIntyre, VMware
|
2020 |
Time is Ripe for D3.0 Farming: Achieving Optimal Spectral Efficiency by Allocating D3.0 Spectrum to OFDM
By Maher Harb, Chad Humble, Sebnem Ozer, Dan Rice; Comcast
|
2022 |
A Proactive Network Management Scheme for Mid-Split Deployment
By Lei Zhou, Robert Thompson, Robert Howald, John Chrostowski & Daniel Rice, Comcast Cable
|
2020 |
Roaring into the ‘20s with 10G
By Dr. Robert Howald, Robert Thompson, Sebnem Ozer, Daniel Rice & Larry Wolcott, Comcast; Dr. Tom Cloonan, Dr. Ruth Cloonan & John Ulm, CommScope; Jan Ariesen, Technetix
|
2020 |
When Physical Layer Simulation Gets Real
By Ramya Narayanaswamy, Karthik Subramanya, Dr. Richard Prodan & Larry Wolcott, Comcast
|
2021 |
