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Nokia And China Mobile Research Institute Sign Agreement To Drive A More Open 5G Ecosystem

Under the agreement, signed at the China Mobile 2018 Partner Summit, Nokia and China Mobile Research Institute will investigate O-RAN use-cases, optimizing 5G networks to manage a growing array of service needs including:

  • Decentralized (CU/DU) split multi-vendor cloud RAN architecture, using real-time and non-real time processing capabilities
  • Jointly specifying open radio access network interfaces between multi-vendor components, such as the fronthaul interface connecting the split cloud RAN architecture
  • Smart Radio Intelligence control using advanced network analytics
  • Commercial off-the-shelf hardware equipment

Nokia embraces a culture of openness and collaboration using open API common interfaces and tool-kits to allow customers such as China Mobile Research Institute to access and benefit from network artificial intelligence, machine learning and real-time analytics to optimize network performance.

The companies will share the findings through a series of O-RAN working groups, conducting analysis, studies and demonstrations.

Zhiqiang Yang, Vice President of China Mobile Research Institute said: “China Mobile Research Institute and Nokia share the goal of driving new levels of openness in network architecture. By optimizing multi-vendor network interworking we will be able to access network intelligence and use end-to-end data analytics and machine learning to support the delivery of innovative new consumer and industry services in the 5G world.”

Tommi Uitto, president of Mobile Networks at Nokia, said: “We are excited to work with China Mobile Research Institute to realize the company’s goals. It reflects our capabilities in end-to-end network technology and the work we are already doing as we build-in openness across our 5G Future X architecture. 5G will enable new use-cases with a wide variety of service level requirements. An optimized and open end-to-end network will enable the levels of automation and artificial intelligence for the network to support with high-performance any demands placed on it.” – CT Bureau

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