NGMN Expects AI Would Help MNOs Meet Efficiency Goals

NGMN Expects AI Would Help MNOs Meet Efficiency Goals

The Next Generation Mobile Networks Alliance (NGMN) published a roadmap for MNOs and the wider telecoms industry to reduce energy consumption across networks. The trade body highlighted the role AI and machine learning can play in boosting efficiency in the sector.

In its latest publication, NGMN outlined 16 different energy savings techniques and solutions, currently used or under development in the industry. The comprehensive roadmap aims to enhance energy-saving methods for MNOs, and each of its techniques is claimed to be supported by real-world data.

NGMN argues energy consumption can be reduced through process optimization, engineering and operational improvements, as well as the deployment of the latest technologies. Its recommendations are part of a wider Green Future Networks program, addressing short-term solutions that MNOs could deploy.

Coming to AI, the trade body explained the use of the technology, and ML can be used to plan better and manage networks, as well as predict traffic, and represents a key new addition to the identified solutions. As well as helping to estimate energy consumption, AI algorithms can also apparently help MNOs make improved energy-saving decisions and highlight the importance of identifying low-energy efficiency sites.

Laurent Leboucher, Orange Group CTO and NGMN board member said finding ways to reduce energy consumption and meet climate goals is of utmost importance to the industry. “The solutions span multiple domains: better network planning and engineering, improved network management, the application of AI and ML, and the development and use of new technologies.”

In addition to the energy-saving tips, NGMN also called on MNOs to share wireless and RAN infrastructure and utilize network resources to limit energy consumption and carbon emissions. Standards development bodies were also urged to enhance interworking between networks and energy supplies as a method to reduce carbon footprints and costs while maintaining service availability.