Field Experiences with US OFDMA and Using US Profile Management (2020)

By Karthik Sundaresan & Jay Zhu, CableLabs; João Pedro Fernandes, NOS

DOCSIS® 3.1 is now largely deployed in the field, but so far it has been an Orthogonal Frequency Division Multiplexing (OFDM) Downstream only endeavor. Operators are beginning to test Upstream Orthogonal Frequency Division Multiple Access (OFDMA) and are discovering various intricacies in getting the US OFDMA to work robustly. We CableLabs and NOS, a cable operator in Portugal have been working together and have been focused on DOCSIS 3.1 OFDMA in general and collaborating on the Upstream Profile Management Application (PMA). Defining appropriate Upstream profiles for an OFDMA channel affects the stability of the modems on the channel and also the capacity realized. We implemented data collection agents through the CMTS CLI to collect Upstream RxMER for each CM, or on other CMTSs collect the data manually for each CM. US RxMER looks very different than the Downstream RxMER, due to the noise funneling characteristics on the HFC plant. NOS engineering and CableLabs collaborated on various US PMA algorithms and this paper will describe some of the new methodologies we have developed. The NOS operations team is doing a field trial with the US data collection and then configuring the profiles/IUC (interval usage code) generated by PMA on a live plant to understand the impact and behavior. This paper focuses on the lessons we have learnt from the DOCSIS 3.1 upstream field trial and production systems.

By clicking the "Download Paper" button, you are agreeing to our terms and conditions.

Similar Papers

Practical Lessons from D3.1 Deployments and a Profile Management Application
By Karthik Sundaresan, Jay Zhu & Mayank Mishra, CableLabs; James Lin, Kyrio/CableLabs
2019
Profile Management Informed Proactive Network Maintenance
By Jason Rupe & Jingjie Zhu, CableLabs
2020
Accurately Estimating D3.1 Channel Capacity
By Karthik Sundaresan, CableLabs
2017
DOCSIS 3.1 Profile Management Application and Algorithms
By Greg White and Karthik Sundaresan, Cable Television Laboratories, Inc.
2016
FDX & D3.1 Capacity Scenarios
By Karthik Sundaresan, CableLabs
2018
Access Network Data Analytics
By Karthik Sundaresan & Jay Zhu, CableLabs
2017
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
2019
Low Latency DOCSIS: Overview And Performance Characteristics
By Greg White, Karthik Sundaresan & Bob Briscoe, CableLabs
2019
DOCSIS 3.1 Multicast Profile Management Mechanism
By Yanbin Sun, Tao Ouyang, and Hesham ElBakoury, Huawei Technologies Co.,Ltd.
2016
Dynamic IUC for OFDMA Transmission
By Hongbiao Zhang & Peter Wolff, Casa Systems
2020
More Results >>