Energy Savings: a key challenge and opportunity in Mobile Networks

This paper discusses the problematic of managing power consumption by telecom network operators, and provides practical recommendations and real life examples on how to achieve optimal energy management through AI.

Tupl releases a technical white paper about using AI to achieve significant power savings in the telecom industry.Telecom operators are some of the biggest energy users in the world, responsible for up to 3 percent of energy demand around the globe. Unsurprisingly, telecom energy usage—and the carbon footprint it leaves behind—is predicted to grow along with the rise in 5G technology and the increased traffic it is expected to bring.

Power Savings in mobile networks is becoming an area that most operators have or will have on their priority list for the foreseeable future. This is for several obvious reasons: energy prices are soaring, good corporate citizenship requires green initiatives, and based on the findings in this white paper, there is significant room for improvement in optimizing the power savings usage.

The technological building blocks are there: extensive power savings features provided by OEMs (original equipment manufacturers), AI-based agile decision- making machinery, and a way to measure and mitigate customer impact. However, putting all these technologies together and easily applying operator- specific strategies 24/7 in a multi-vendor and multi- technology environment is not trivial.

This is what this white paper aims to achieve: explaining a comprehensive approach to power savings through AI.