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Proactive Network Maintenance

Find and fix network issues before they become big enough to impact customer services.

How will we get there? 

Our PNM efforts revolve around creating an efficient, standardized way of collecting key performance indicators (KPIs) from cable modems and cable modem termination systems. The DOCSIS® Common Collection Framework (DCCF) is a toolkit of technologies that include powerful cloud-based predictive algorithms, machine learning and analytics for finding and solving various network issues without impacting customer experience. We are also working on a Combined Common Collection Framework (XCCF) that standardizes and further optimizes the data collection process from many types of access network technologies, including hybrid fiber coax (HFC), fiber optics and wireless solutions.

To give operators more visibility into residential Wi-Fi networks, we’ve developed Wi-Fi Common Collection Framework (WCCF). It’s a standard architecture for the capture and transport of key performance indicators (KPIs) relevant to home Wi-Fi troubleshooting. Based on this data, the system can quickly pinpoint the source of a potential problem, like a Wi-Fi coverage issue or interference with the neighbor’s network, and automatically fix it before the customer notices. We’ve already demonstrated its effectiveness through a member field trial and are now working with the Wi-Fi Alliance and Broadband Forum to make it widely available to the rest of the communications industry.

As optical technologies become more prominent within the cable access network infrastructure, so should optical PNM practices. Operators will soon be able to use CableLabs’ Optical Common Collection Framework (OCCF) to ensure that any issues in the fiber portion of their network are identified and fixed before they become a bigger problem. We are leading the cable industry with efforts to specify what data is needed to support optical PNM and how to best use this data for proactive troubleshooting.