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ITU Approves Infovista's ML-based Standard for 5G VoNR Voice Quality Testing

ITU Approves Infovista's ML-based Standard for 5G VoNR Voice Quality Testing Image Credit: Jackie Niam/Bigstockphoto.com

Infovista last week announced that its sQLEAR machine learning-based algorithm has been approved by ITU for QoE testing of mobile all-IP voice services, including Voice over LTE (VoLTE), Voice over New Radio (VoNR) and OTT voice. 

The sQLEAR algorithm (speech Quality by machine LEARning) is the world’s first ML-based standard for voice quality modelling approved by ITU-T Study Group 12, as ITU-T P.565.1.

The sQLEAR algorithm takes network parameters and standardized voice codec and client information and uses machine learning to provide mobile operators with the network-centric, device-agnostic, audio path-independent, real-time view of the true voice quality being delivered through their 4G and 5G networks. This significantly reduces both cost and time to market of new 5G voice services, while cost-efficiently maintaining high quality standards for existing VoLTE services.

 

Free of devices’ audio path impact, sQLEAR empowers operators with cost-effective, network-centric monitoring, optimization, troubleshooting and benchmarking of their 4G and/or 5G networks, without the need to individually test all commercial devices. The approved ITU-T P.565.1 algorithm exploits ML capabilities to describe the impact on voice quality of the increasingly complex network, voice codec and client interdependencies that are inherent in the all-IP voice networks (VoLTE, VoNR). This enables operators to save time and money, both by optimizing their networks for all, rather than for specific, devices and by being able to quickly identify any network-based issues without the interference from device characteristics which could mislead root cause analysis.

Dr. Irina Cotanis, Technology Director of Network Testing at Infovista
Launching new voice services over 5G New Radio (VoNR), while maintaining the voice service quality and growing voice revenue through VoLTE expansion with minimized CAPEX/OPEX, is one of today’s key concerns for mobile network operators. With the GSA now reporting over 1,100 5G announced devices globally, it is no longer practical or financially viable to test every individual device for its voice quality. Furthermore, mobile all-IP-based voice as well as the 5G New Radio bring new complexities and interdependencies that require a fundamentally new approach to make voice testing effective and efficient.

Author

Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at)thefastmode.com, or reach him on LinkedIn @raysharma10, Facebook @1RaySharma

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