Nokia announced the launch of its Intelligent RAN Operations solution to manage the complexity of 5G networks through machine learning (ML).
Nokia Intelligent RAN Operations implements several machine learning functionalities that help operators manage network density and complexity. It enables the automation of routine network management tasks, with a greater ability to detect, categorize and solve network issues in real-time. This saves time and eliminates human error.
Operators trialing the solution on a live network have seen an operational efficiency gain of up to 80 percent with zero-touch optimization, and 70 percent fewer issues to resolve, reducing team workloads and helping ensure consistent network quality. The solution also includes intelligent energy-saving features that reduce base station power consumption by up to 15 percent, enabling more sustainable operating practices.
Nokia is showcasing its Intelligent RAN Operations solution at Mobile World Congress 2022 in Barcelona, Hall 3 Stand 3A10. The demo shows how machine learning helps automate radio network energy-saving configuration and management while reducing energy consumption and CO2 emissions.
“To optimize operational, capital, and energy efficiency in the 5G era requires a paradigm shift. Manual configuration of the thousands of parameters available in network nodes, a ten-fold increase on 4G, is no longer feasible,” James Crawshaw, Principal Analyst at Omdia, said in a news statement.
“Operators need automated solutions that leverage artificial intelligence to augment and relieve human intelligence which can then be brought to bear on the manifold RAN operational challenges that computers are not yet able to solve.”
“Nokia’s Intelligent RAN Operations boosts network performance, quality, and the subscriber experience whilst reducing power consumption and operational costs,” Mark Atkinson, SVP, Radio Access Networks PLM at Nokia, said.