Amdocs and Intel in vendor tie-up for virtualised 5G

Amdocs and Intel in vendor tie-up for virtualised 5G

05 October 2020 | Alan Burkitt-Gray

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Telecoms software company Amdocs is working with chip maker Intel on virtualisation technology for cloud-based 5G networks.

Amdocs says its SmartRAN optimisation system for 5G radio access networks (RANs) is integrated with Intel’s own FlexRAN software architecture.

Anthony Goonetilleke (pictured), group president of media, network and technology at Amdocs, said: “Optimisation solutions for virtualised RAN systems such as Amdocs SmartRAN enable service providers to deliver both great customer experiences as well as drive network efficiency by automatically analysing a wide range of usage and network KPIs to take actions to meet service expectations while optimally utilising available network resources.”

Cristina Rodriguez, vice president and general manager of Intel’s wireless access network division, added: “Service providers can more quickly deploy new analytics capabilities that optimise the end user’s quality of experience.”

Amdocs said that the integration embeds “embedding intelligence in every layer of the RAN”.

Goonetilleke said: “Service providers are driving open, virtualised and distributed network architectures for 5G to better address the performance demands of new immersive services as well as meet customer needs with more pragmatic network investments and streamlined operations.”

Rodriguez said: “Communications service providers are embracing the use of virtualisation across the entire network, including the RAN, for increased agility and cost efficiencies as they support a range of new use cases and services.”

Amdocs said it is also developing its SmartRAN solution to support testing use cases that are established by the O-RAN Alliance, starting with the massive multi-antenna use case.

The company said: “By following this use case and integrating FlexRAN, the solution is planned to allow testing and customisation of SmartRAN to enable the mobile network operator to develop the policies, configurations, or machine learning techniques to flexibly configure massive MIMO system parameters in a way that serves their service level objectives.”