In the previous part of our blog series, we discovered the importance of monitoring critical network KPIs (Key Performance Indicators) that shape the Quality of Experience (QoE) for cable broadband users. In this part, we'll delve deeper into how the AXTRACT DOCSIS & PNM (Proactive Network Maintenance) bundles harness these KPIs to pinpoint critical locations and empower service providers to proactively tackle network challenges and consequently minimize customer churn before signal impairments cause critical service degradation and customer unsatisfaction.

In the rapidly evolving landscape of digital communication, guaranteeing a top-notch user experience is crucial for both service providers and end customers. As the appetite for faster and more reliable internet connection continues expanding, cable operators rely on the Data Over Cable Service Interface Specification (DOCSIS) to deliver high-speed broadband services.

In their paper "Performance Monitoring Challenges in HFC Networks", Milan et al. say that collecting big data and processing it is integral to calculating the health of the HFC network of operators. Their KPIs include some interesting ones such as Flap List and SNR - let's take a closer look at them.

An integral part of FBC impairments detection is channel detection. For instance, the adjacency impairment looks at neighboring channels when deciding for an impairment.

Proactively catching and fixing issues in the network instead of reacting when customers start piling up on your support centres has become the main modus operandi for service providers.

Filtering is an extremely useful method in DOCSIS cable networks. There are many use cases - for instance one could disable data channels to alleviate other impairments and thus make the connection stable or even just to match the level of service the customer is paying for.

The wave impairment is one of many impairments that can be detected on a DOCSIS FBC (full band capture) downstream spectrum. In the following, we take a cursory look at an implementation of the wave impairment detection algorithm.