The Vault
Unlock the Power of your DOCSIS 3.1 network with broadband PMA
The Profile Management Application (PMA) concept was developed by CableLabs to leverage the programmable PHY layer to increase the usable capacity in DOCSIS® 3.1 networks.
PMA technology enables the expansion of cable broadband capacity with only a software upgrade. PMA software dynamically creates smart profiles that govern the modulation orders used in DOCSIS channels adapted to the network conditions of a specific hybrid fiber-coaxial (HFC) network. This minimizes transmission errors and maximizes the data capacity of the OFDM/OFDMA channels, thus enabling an operator to match growing bandwidth demands by improving network health and defer potential node-splits and new equipment costs.
OpenVault’s broadband PMA technology
As the first member of the Kyrio PMA Partner Program, OpenVault has worked closely with Kyrio to speed adoption of broadband PMA by resolving integration and testing concerns. The goal is to optimize the amount of data that can be transferred on a channel in a given amount of time based on real-world plant conditions.
OpenVault’s Capacity Booster is a dynamic profile management app that boosts capacity by running large-scale complex algorithms calculated in our robust data lake. In fact, this broadband PMA solution uses closed-loop automation to continually monitor every channel and modem in the network to unlock upwards of 40% more capacity. Through persistent analysis of data from each CM and CMTS, our Profile Management Application solution learns the state of the system and creates profile sets tailored to the unique real-world environment of each OFDM/OFDMA channel – essentially creating “virtual node splits” improving the Quality of Experience (QoE) for subscribers by opening up more usable bandwidth. Now you fully benefit from investment in your DOCSIS 3.1 network by improving performance and visibility without incremental capital investment.
Learn more about OpenVault’s PMA technology for maximized network capacity and to match increasing bandwidth demands while reducing potential node-splits and new equipment costs.