Can AI bring down network energy costs?

BRADLEY MEAD | February 25, 2020

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Data volumes in mobile networks are increasing at an unprecedented rate. In our latest mobility report, we forecast that mobile data traffic will grow fourfold by 2025, reaching up to 160 exabytes (EB) per month. This is amazing of course and offers all kinds of opportunities for communications service providers, but there is also a potential downside to this rapid surge in data traffic: its impact on the energy consumption and carbon footprint of mobile networks. That’s not the only downside for communications service providers, as it also raises a significant cost concern. The energy consumption of today’s networks accounts for 10 percent of annual operation expenditure (OPEX). As we found in our AI report, the demand to reduce operational costs already ranks among the top priorities for today’s operators. With the deployment of 5G and a spike in data traffic forecast, suddenly this demand becomes even more relevant.

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Microland Limited

Microland accelerates the digital transformation journey for global enterprises enabling them to deliver high-value business outcomes and superior customer experience. Headquartered in Bangalore, India, Microland has more than 4,200 professionals across its offices in Australia, Europe, India, Middle East and North America.

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