OPTIMIZE YOUR FWA NETWORK EXPERIENCE AND MAXIMIZE PROFITABILITY
Deploying and optimizing FWA – with AI-powered UX testing FWA is driving a change in subscriber profile – and data usage – which can have a profound impact on the network. Not only is a typical FWA subscriber’s data usage an order of magnitude more than that of a traditional mobile subscriber, but the variety and complexity of the services they are using is similarly beyond compare. The variety and diversity of popular OTT applications mean it is impossible to test for all native and OTT applications and services. From WhatsApp to Netflix, Counter-Strike to MS Teams, it’s neither practical nor financially viable to test every device, every OTT app and every interactive service. However, by using user interface (UI) automation when setting up the tests, while the test methodology and KPIs remain generic, operators can test the generic framework regardless of what OTT media application/service is being used. This saves operators time when testing a multitude of OTT media applications and allows them to quickly test any new application with consistency and confidence. By testing the network against the key parameters of the most demanding and/or most commonly used OTT application/service, operators can have confidence that their FWA network is not only capable of supporting less intensive and/or less common OTT apps and services, but they can make user experiences promises of their fixed wireless access offer, safe in the knowledge that their network will deliver.
By embracing a cloud-native API-based approach, automation enables operators to roll out next-generation networks faster and, ultimately, improve network CAPEX and OPEX efficiency. Automated use case-centric workflows save time and reduce errors for RF Planners by enabling them to use intuitive and efficient user interfaces that are specific to the parameters required. This means an operator’s RF planning team could run 5G analyses using consistent templates, parameters and propagation models, accelerating the RF design process and improving the accuracy of FWA network planning across a nationwide network. But that’s not all. Go further and by integrating correlation, analytics, alerting and ML/AI automation into these everyday workflows, FWA planning can be done on-demand, informed by data and insight from drive-testing, troubleshooting and operations. It’s this combination of real-time data and automation that is potentially so powerful.
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