As 5G networks become more diffuse, carrier infrastructures become more complex and to address this issue, Nokia has launched its new Intelligent RAN Operations, designed to handle the increasing complexity of 5G networks through machine learning.
Nokia said that to date, 5G networks have ushered in a host of new use cases as well as products and services that depend on ultra-low latency and resiliency. They also support a wide range of applications with widely varying service requirements. Yet Nokia warned that in this complex environment, it was no longer possible to operate cost-effective radio networks using intensive manual tools, or even just automation.
“As mobile networks have evolved from 2G to 5G, they have become much more capable and sophisticated,” said James Crawshaw, principal analyst at research firm Omdia. “Management and configuration tools have largely followed this evolution – until now.
“To optimize operational, capital and energy efficiency in the 5G era requires a paradigm shift. Manual configuration of the thousands of parameters available in the network nodes, multiplied by ten in 4G, is no longer possible. Operators need automated solutions that leverage artificial intelligence to augment and relieve human intelligence, which can then be leveraged to address the many RAN operational challenges that computers are not yet capable of solving.
Nokia Intelligent RAN Operations is designed to support Nokia’s commitment to sustainability and tackling climate change, the company said. The framework and its underlying products are specifically designed to enable mobile operators to improve 5G network quality, efficiency and subscriber experience while reducing operational costs, energy consumption and CO2 emissions.
Nokia has set sustainability goals to reduce its impact on the environment and help its customers do the same. The company is committed to reduce its emissions by 50% in its operations and products used by 2030. Nokia’s technology is designed to be energy efficient, contributing to mobile operators’ climate and environmental goals.
The new system implements a number of machine learning features to help operators manage network density and complexity. It enables the automation of routine network management tasks, with greater ability to detect, categorize and resolve network issues in real time. This would save time and eliminate human error, Nokia said.
The company also said that operators who followed the solution on a live network saw up to 80% operational efficiency gain with zero-touch optimization and 70% fewer problems to solve, reducing the team workload and contributes to guaranteeing constant network quality. The technology also includes smart power saving features that reduce base station power consumption by up to 15%, enabling more sustainable operating practices.
« Nokia’s intelligent RAN operations helps operators deliver 5G services to their customers in the most efficient and effective way possible,” said Mark Atkinson, SVP, PLM Radio Access Networks at Nokia. “Through intelligent machine learning, it improves network performance, quality and subscriber experience while reducing power consumption and operating costs.
“Nokia continuously supports its global customers with innovative products and solutions that help them be more sustainable and provide better services.”
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