1st Whitepaper in the OTT Telephony Application Series
This paper, the first in a two-part series, describes the generic OTT telephony application concept, its codec/client adaptation and settings, and recommended KPIs to be used for testing. In the second whitepaper, we examine data-driven validation of the Infovista TEMS™ generic OTT telephony application vs. a native OTT app.
5G deployments are driving a myriad of new 5G services and OTT applications which users expect to perform as flawlessly as everything else they do on their device. Delivering on this expectation of seamless user experience is a significant challenge for operators due to the increased complexity of the network, encryption of services/applications, proprietary codecs/clients/delivery protocols and the constant pressure to minimize network operational costs.
This challenge has led Infovista to introduce a generic testing approach, both for test configurations and performance evaluation of services and OTT applications, as well as for the data collection procedures. This generic testing approach using generic OTT clients, sophisticated real live service traffic pattern emulations and/or machine learning (ML) algorithms enables accurate quality assessment and troubleshooting of encrypted OTT services.
In this technical whitepaper, we discuss one of Infovista’s generic testing approaches – the generic OTT telephony application testing. This testing solution uses the most common codec and client to mimic most OTT applications with a threefold scope:
- Network tuning in a generic way to optimize it for all types of OTT telephony applications
- Conversational voice quality benchmarking and monitoring
- Detailed troubleshooting