Energy Efficiency Concerns and Trends in Future 5G Network Infrastructures

Ioannis P. Chochliouros, Michail-Alexandros Kourtis, Anastasia S. Spiliopoulou, Pavlos Lazaridis, Zaharias Zaharis, Charilaos Zarakovitis and Anastasios Kourtis
Additional contact information
Ioannis P. Chochliouros: Research Programs Section, Hellenic Telecommunications Organisation, 15124 Athens, Greece
Michail-Alexandros Kourtis: National Centre for Scientific Research “DEMOKRITOS” (NCSRD), Institute of Informatics and Telecommunications, 15310 Athens, Greece
Anastasia S. Spiliopoulou: Research Programs Section, Hellenic Telecommunications Organisation, 15124 Athens, Greece
Pavlos Lazaridis: Department of Engineering and Technology, University of Huddersfield, Huddersfield HD1 3DH, UK
Zaharias Zaharis: Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Charilaos Zarakovitis: National Centre for Scientific Research “DEMOKRITOS” (NCSRD), Institute of Informatics and Telecommunications, 15310 Athens, Greece
Anastasios Kourtis: National Centre for Scientific Research “DEMOKRITOS” (NCSRD), Institute of Informatics and Telecommunications, 15310 Athens, Greece

Energies, 2021, vol. 14, issue 17, 1-14

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.

Keywords: 5G; artificial intelligence (AI); energy consumption; energy efficiency; energy harvesting; energy savings; machine learning (ML); network slicing; resource allocation; smart metering (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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