Nokia claims that Future X network architecture and ReefShark chipsets provide more scalability and performance, tripling throughput of Nokia’s existing RAN technology for global telecom operators.
Nokia promises that automation using Nokia’s open machine learning technology delivers Total Cost of Ownership (TCO) savings of up to 30 percent.
“Nokia has taken a holistic approach with its 5G Future X portfolio in order to drive the performance required by 5G applications. With such a wide breadth of technology and services expertise it is in a unique position to optimize the operator path to 5G,” said Stephane Teral, executive director, Research and Analysis, IHS Markit.
Nokia recently announced its first 5G equipment deal with NTT Docomo.
Future X architecture — to be showcased at Mobile World Congress (MWC) in Barcelona next month – comprises end-to-end network that delivers up to three times more data capacity per cell site and 30 percent lower total cost of operation through artificial intelligence-based automation.
Nokia said its 5G Future X provides better baseband performance to telecoms because of Nokia’s ReefShark chipset. ReefShark chipsets decrease the size of massive MIMO antennas by 50 percent, increasing deployment options, while achieving a 64 percent reduction in the power consumption of baseband units.
In addition, Machine Learning-enabled beamforming technologies allow networks to follow mobile devices and extend cell range as well as provide massive capacity wherever it is needed.
The 5G Future X network scales efficiently to cope with the traffic and constant creation of new services and applications assigned to network slices.
Nokia 5G core solutions, such as Cloud Packet Core, combine cloud-native architecture concepts such as network function software disaggregation, stateless functional software elements with ‘state-efficient’ processing and a shared data layer, with automated cloud networking and dynamic lifecycle management. These enable better service delivery, agility and operational efficiency.
Nokia’s advances in artificial intelligence and machine learning throughout the network to radio cell sites, wherever they are located, improve both performance and operations. Automation on top of a Nokia cloud-native infrastructure can also result in operational savings of around 30 percent.
“We expect to be able to deliver unprecedented capabilities and efficiencies that will allow our customers to transform their service offering for 5G,” said Marc Rouanne, president of Mobile Networks at Nokia.