Upstream OFDMA Anomaly Detection and Triaging
By Jay Zhu & Karthik Sundaresan, CableLabs
|
2021 |
Practical Lessons from D3.1 Deployments and a Profile Management Application
By Karthik Sundaresan, Jay Zhu & Mayank Mishra, CableLabs; James Lin, Kyrio/CableLabs
|
2019 |
Improving Operational Intelligence for Maintaining Cable Networks
By Mike Spaulding, Comcast Corporation; Larry Wolcott, Comcast Corporation; Jason Rupe, CableLabs
|
2022 |
Leveraging DOCSIS® 4.0 CM Backward Compatibility on DOCSIS 3.1 Networks
By Karthik Sundaresan, Cable Television Laboratories Inc.; Doug Jones, Cable Television Laboratories Inc.
|
2023 |
Network Capacity Options on the Path to 10G
By Karthik Sundaresan, CableLabs
|
2022 |
Right Technician at the Right Time: Using Machine Learning to Predict Network Maintenance Issues
By Anastasia Vishnyakova, Rama Mahajanam, Mike O’Dell, May Merkle-Tan, Catherine Hay & Lisa Pham, Comcast Cable
|
2021 |
An Overview Of TV White Space For The Cable Industry
By Tom du Breuil, Dave Gurney, Mark Kolber, Motorola, Inc.
|
2009 |
Gridmetrics Data Provide Insights and Improve Situational Awareness of the Electric Power Grid
By Robert Cruickshank, Ph.D. & Nicolas Metts, Cable Television Laboratories; Paul Schauer, Comcast Cable Communications; Curtis Snyder
|
2020 |
Best Practices for A/B Testing Machine Learning Models
By Piper Williams, Charter Communications; Ryan Lewis, Charter Communications; Miranda Kroehl, Charter Communications; Veronica Bloom, Charter Communications; Brock Bose, Charter Communications
|
2023 |
Improving Upstream Efficiency
By Karthik Sundaresan, Tom Williams, Sheldon Webster, Alberto Campos & Doug Jones, CableLabs
|
2021 |
Field Experiences with US OFDMA and Using US Profile Management
By Karthik Sundaresan & Jay Zhu, CableLabs; João Pedro Fernandes, NOS
|
2020 |
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
|
2016 |
Repair the Ides Of March: COVID-19 Induced Adaption of Access Network Strategies
By Dr. Robert Howald, Comcast
|
2020 |
FDX & D3.1 Capacity Scenarios
By Karthik Sundaresan, CableLabs
|
2018 |
Revolutionizing Access Networks: How TFDM Coherent PON Combines the Best of TDM and WDM PONs
By Zhensheng (Steve) Jia, Ph.D., CableLabs; Haipeng Zhang, Ph.D., CableLabs; L. Alberto Campos, Ph.D., CableLabs
|
2023 |
Exploring the Benefits of Network Intelligence Applications to Optimize HFC Networks Using a Data-Driven Design Approach
By Diana Linton, Charter Communications; Esteban Sandino, Charter Communications; Nader Foroughi, Technetix Inc.; Keith Auzenne, Charter Communications; Premton Bogaj, Technetix Inc.
|
2023 |
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 |
Right-sizing Cable Modem Buffers For Maximum Application Performance
By Greg White, CableLabs and Richard Woundy, Yiu Lee, Carl Williams, Comcast
|
2011 |
A Roadmap for Cable Access Reliability
By Jason Rupe, CableLabs; Ron Hranac
|
2022 |
Scaling of Current PON Technologies to Meet the CPON Goals of 100Gbps and Beyond
By Karthik Sundaresan, CableLabs; Zhensheng (Steve) Jia, Ph.D., CableLabs; Kevin Noll, Vecima
|
2023 |
