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
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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
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2022 |
Comcast Underground: Innovative Fiber Deployments Over Existing Underground Critical Infrastructure
By Venk Mutalik, Pat Wike, Doug Combs, Alan Gardiner, Dan Rice; Comcast
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2022 |
Graph Algorithms and Real-Time Telemetry for Intelligent Plant Operations
By Bob Lutz, Comcast; Matthew Stehman, Comcast
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2023 |
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
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2021 |
Two Years Of Deploying ITV/EBIF Applications – Comcast’s Lessons Learned
By Robert Dandrea, Ph.D., Comcast Cable
|
2010 |
Towards Fully Automated HFC Spectrum Management
By Jay Zhu, Comcast; Maher Harb, Comcast; Jeff Howe, Comcast; Chad Humble, Comcast; Dan Rice, Comcast
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2023 |
Key Learnings from Comcast’s Use of Open Source Software in the Access Network
By Louis Donofrio & Qin Zang, Comcast Cable; Vignesh Ramamurthy, Infosys Consulting
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2020 |
Rapid and Automated Production Scale Activation of Expanded Upstream Bandwidth
By Rob Thompson, Rob Howald, John Chrostowski, Dan Rice, Amarildo Vieira, Rohini Vugumudi & Zhen Lu, Comcast Cable
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2021 |
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
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2022 |
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
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2019 |
A Deep Learning Approach for Detecting RF Spectrum Impairments and Conducting Root Cause Analysis
By Kevin Dugan, Justin Evans, Maher Harb; Comcast
|
2022 |
Deploying PMA-Enabled OFDMA in Mid-Split and High-Split
By Maher Harb, Dan Rice, Kevin Dugan, Jude Ferreira, Robert Lund; Comcast
|
2022 |
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 |
Convolutional Neural Networks for Proactive Network Management
By Jude Ferreira, Maher Harb, Karthik Subramanya, Bryan Santangelo & Dan Rice, Comcast
|
2020 |
Optimizing DOCSIS 3.0 Configuration in the Upstream through Applied Reinforcement Learning
By Kevin Dugan, Maher Harb, Dan Rice & Robert Lund, Comcast
|
2021 |
Execute The Upstream Makeover Without Leaving Scars
By Dr. Robert Howald & Larry Wolcott, Comcast; Leslie Ellis, EllisEdits
|
2021 |
Bringing the Mid-Split Factory Online to Rapidly Produce Terabytes
By Serge Kasongo, Comcast, Field Operations; Dr. Robert Howald, Comcast, CONNECT; John Chrostowski, Comcast; Robert Thompson, Comcast
|
2022 |
Developing the DOCSIS 4.0 Playbook for the Season of 10G
By Dr. Robert Howald, Jon Cave & Olakunle Ekundare, Comcast; John Williams & Matt Petersen, Charter Communications
|
2021 |
