Abstract

Energy efficiency is a huge opportunity for both the developed and the developing world, and ICT will be the key enabler towards realising this challenge, in a huge variety of ways across the full range of industries. In the telecommunications space in particular, power consumption and the resulting energy-related pollution are becoming major operational and economical concerns. The exponential increases in network traffic and the number of connected devices both make energy efficiency an increasingly important concern for the mobile networks of the (near) future. More specifically, as 5G is being deployed at a time when energy efficiency appears as a significant matter for the network ability to take into account and to serve societal and environmental issues, this can play a major role in helping industries to achieve sustainability goals. Within this scope, energy efficiency has recently gained its own role as a performance measure and design constraint for 5G communication networks and this has identified new challenges for the future. In particular, the inclusion of AI/ML techniques will further enhance 5G’s capabilities to achieve lower power consumption and, most importantly, dynamic adaption of the network elements to any sort of energy requirements, to ensure effective functioning.

Highlights

  • Regulation of energy consumption is one of the five pillars of the Energy UnionStrategy [1] for inclusive and sustainable employment and parallel growth

  • Climate change is threatening to disrupt every aspect of everyday life, and this calls for a suitable measure application across the entirety of the technology and telecommunication domain

  • Modern ICTs need to play an important role in this reform, to enable industries and citizens to achieve the required sustainability targets

Read more

Summary

Introduction

Regulation of energy consumption is one of the five pillars of the Energy UnionStrategy [1] for inclusive and sustainable employment and parallel growth. Energy efficiency is one of the fundamental concerns when planning and optimising new mobile networks and many related supported techniques, ranging from smart power for base stations to artificial intelligence (AI)-enabled preventive maintenance.

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call