Using Machine Learning to Automate Node Split Designs and HFC Augmentation Options
By Keith R. Hayes, IMMCO, Inc.
|
2020 |
Preparations for Deploying & Lessons Learned from Deploying High Split (204 MHz) on I-CCAP, R-PHY, & R-MACPHY - High Split as a Steppingstone Towards DOCSIS® 4.0
By Craig Coogan, CommScope, Inc.; Jamie Brown, Shaw Communications, Inc.; Zoran Maricevic, Ph. D., CommScope, Inc.
|
2022 |
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 |
The Intersection of HFC and 5G
By Keith R. Hayes, Broadband Advisors Group, LLC
|
2017 |
Capacity Planning, Traffic Engineering, and HFC Plant Evolution for the Next 25 Years
By Tom Cloonan, Ayham Al-Banna, Frank O’Keeffe & John Ulm, CommScope; Ruth Cloonan, BlueOpus
|
2019 |
Lessons From Telco & Wireless Providers: Extending The Life Of The HFC Plant With New Technologies
By Tom Cloonan, Ayham Al-Banna, Mike Emmendorfer,
Zoran Maricevic, Frank O’Keeffe, and John Ulm,
ARRIS Group, Inc.
|
2015 |
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
|
2017 |
Embracing Service Delivery Changes with Machine Learning
By Andrew Sundelin, Guavus, Inc.
|
2018 |
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
|
2016 |
Machine Learning Model for Customer Claim Prediction in HFC Subscribers
By Dr. Claudio Righetti, Telecom Argentina S.A.; Matilde Cuenca, Telecom Argentina S.A.; Dr. Diego Martinez Heimann, Telecom Argentina S.A.
|
2023 |
Network Capacity and Machine Learning
By Dr. Claudio Righetti, Emilia Gibellini, Florencia De Arca, Carlos Germán Carreño Romano, Mariela Fiorenzo, Gabriel Carro & Fernando Rodrigo Ochoa, Cablevisión S.A.
|
2017 |
Adaptive Power Management for Node Clusters
By Fernando X. Villarruel, Michael Mobley & Curt Dalton, Cisco Systems, Inc.; Lamar West, Ph.D., LEW Consulting, LLC
|
2018 |
Improving Pedestrian Safety using Computer Vision, Machine Learning and Data Analytics
By Parmjit Dhillon, Mohamed Daoud & Hossam Hmimy, Charter Communications Inc.
|
2021 |
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 |
Toward Automated Intelligent Resource Optimization for vCMTS Using Machine Learning
By Kieran Mulqueen, Michael O’Hanlon, Marcin Spoczynski, Brendan Ryan, Thijs Metsch, Leonard Feehan & Ruth Quinn, Intel
|
2018 |
Options for High-Efficiency HFC Return Architectures
By Eric Schweitzer, PhD, Harmonic Inc.
|
1999 |
Exploring Programmatically Generated HFC Plant Topology
By Lin Cheng, CableLabs; L. Alberto Campos, CableLabs; Justin Riggert, Comcast Corporation; Larry Wolcott, Comcast Corporation
|
2023 |
Operationalizing Streaming Telemetry and Machine Learning Model Serving: Customer Experience Automation
By Nick Pinckernell & Scott Rome, Comcast
|
2020 |
Using Profile Management to operationalize the roll-off region in DOCSIS 3.1 HFC networks
By Diana Linton, Justin Stiles, Esteban Sandino, Roger Stafford, Vinod Dani, Jay Liew, Keith Auzenne; Charter Communications
|
2022 |
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
|
2021 |
