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Guavus Launches 5G Core Network Analytics Solution

Guavus Launches 5G Core Network Analytics Solution Image Credit: Guavus

Guavus on Thursday announced a new 5G network data analytics product designed to enable mobile operators to overcome the challenges of operating complex, multi-vendor 5G networks at scale and deliver new revenue-generating 5G services.  

Guavus 5G-IQ NWDAF is a vendor-agnostic, 3GPP-compliant NWDAF implementation that embodies an open approach to streaming analytics, machine learning and AI for generating the real-time operational intelligence needed to drive service orchestration and network automation in the 5G Core.  

The new product will interoperate with all 3GPP-standard components in a 5G System – independent of supplier – while supporting the wide range of analytics-driven use cases that are critical to the diverse functional and operational requirements of 5G Standalone networks. 

5G’s virtualized, disaggregated, cloud-native infrastructure will foster the growth of a more diverse supplier ecosystem than 4G/LTE.  This will place a premium on multi-vendor interoperability in the 5G RAN and Core, which extends to the data analytics functions that drive network automation. Guavus 5G-IQ NWDAF takes an  “Open NWDAF” approach, providing operators multi-vendor analytics interoperability from the 5G network edge to the network Core to the cloud.  

With the new 5G-IQ NWDAF product, Guavus is building on more than a decade of experience successfully deploying carrier-grade analytics solutions – at scale – for some of the world’s largest communications service providers. 

Yesmean Luk, Telco Cloud Practice Lead at STL Partners
The 3GPP NWDAF standard will be essential to standardize operational data, which will enable operators to deliver the machine intelligence needed to power network automation in these complex operational environments.

Guavus CEO Alexander Shevchenko
With our ‘Open NWDAF’ 5G initiative, we are bringing to bear years of mission-critical analytics experience in CSP networks, helping our customers exploit the power of machine learning and AI to overcome the operational challenges impacting customer experience and profitability.

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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