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Guavus launches ML/AI-based streaming analytics for multi-vendor 5G networks

Guavus
(Image credit: Guavus)

Guavus has announced a new 5G network data analytics product, Guavus 5G-IQ NWDAF, 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 an open, vendor-agnostic 3GPP Network Data Analytics Function (NWDAF) for the 5G Core, that generates real-time operational intelligence to drive service orchestration and closed-loop network automation.

5G core automation

The 3GPP-compliant NWDAF implementation enables 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 5G technology 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.

“network automation in these complex operational environments.”

Yesmean Luk, STL Partners.

“At full scale, 5G networks will bring a whole new level of complexity compared to today’s 4G/LTE networks, utilizing advanced New Radio technologies operating in multiple spectrum bands to deliver a new generation of gigabit-speed, low-latency, ultra-reliable services, encompassing a vastly greater number of user devices and smart machines,” said 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.” 

Cloud-native infrastructure

“At full scale, 5G networks will bring a whole new level of complexity compared to today’s 4G/LTE networks, utilizing advanced New Radio technologies operating in multiple spectrum bands to deliver a new generation of gigabit-speed, low-latency, ultra-reliable services, encompassing a vastly greater number of user devices and smart machines,” Luk continued. “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,” he added.  

Indeed, as 5G’s virtualised, 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. In turn, this extends to the data analytics functions that drive network automation and as Guavus 5G-IQ NWDAF takes an “Open NWDAF” approach, it will provide operators welcome multi-vendor analytics interoperability from the 5G network edge to the network Core to the cloud.

“Helping our customers exploit the power of machine learning and AI.”

Alexander Shevchenko, Guavus CEO.

“5G network rollouts will dominate mobile operator spending this decade, and the delivery of 5G products that enable operators to scale these networks will be a strategic focus for Guavus. 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,” said Guavus CEO Alexander Shevchenko.

Reducing latency, data volume and cost

Guavus 5G-IQ NWDAF’s open NWDAF implementation provides operators with the flexibility to deploy the product in a cloud-native, microservices environment, or as a cloud-based containerized offering at the right points in the network. The 5G technology offers scalability for high-performance data collection, aggregation and scoring at the 5G edge, as well as advanced AI/ML analytics in the 5G Core or in the cloud. It also boasts extensibility to plug in non-Guavus analytics algorithms, and to ingest and process non-standard data types from sources outside the 5G Core.

Guavus 5G-IQ NWDAF features a highly efficient, compact streaming analytics engine. This is up to 31 times faster than typical open-source software solutions and is capable of processing non-standard data types from distributed sources beyond the 5G Core, allowing operators to reduce latency, data volume and cost.

Guavus 5G-IQ NWDAF is currently available for customer evaluation. Guavus and AWS are also collaborating on a demonstration of the new product at this year’s Mobile World Congress Barcelona conference.


Rachael Sharpe

Rachael is a British journalist with 17 years experience in the publishing industry. Since launching www.digitalcameraworld.com, she’s been freelancing, and working for some of the world’s best-loved websites and magazines including T3.com and TechRadar.com and has also had a book, iPad for Photographers, published. A regular contributor at 5Gradar, Rachael is following the 5G market closely. Find out more at www.rachaelsharpe.com