Bibliographic Details
| Title: |
Energy Efficiency Concerns and Trends in Future 5G Network Infrastructures |
| Authors: |
Ioannis P. Chochliouros, Michail-Alexandros Kourtis, Anastasia S. Spiliopoulou, Pavlos Lazaridis, Zaharias Zaharis, Charilaos Zarakovitis, Anastasios Kourtis |
| Source: |
Energies, Vol 14, Iss 17, p 5392 (2021) |
| Publisher Information: |
MDPI AG, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Technology |
| Subject Terms: |
5G, artificial intelligence (AI), energy consumption, energy efficiency, energy harvesting, energy savings, Technology |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1996-1073 |
| Relation: |
https://www.mdpi.com/1996-1073/14/17/5392; https://doaj.org/toc/1996-1073 |
| DOI: |
10.3390/en14175392 |
| Access URL: |
https://doaj.org/article/94c980282fce41dd866e000bce6d3895 |
| Accession Number: |
edsdoj.94c980282fce41dd866e000bce6d3895 |
| Database: |
Directory of Open Access Journals |
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