Title
AI as an Essential Element of a Green 6G
Abstract
Since the very beginning of global R&D activities on fifth generation wireless communications (5G), IEEEPAR energy-efficiency (EE) has been considered explicitly as one of the essential key performance indicators for wireless networks, and attracted much attention from academia and industry. The basic concepts, fundamental work, and various advanced techniques towards energy-efficient wireless communications were extensively studied and pursued in previous research efforts [items 1)–4) in the Appendix] The anticipated power consumption increase of 5G (due to the introduction of a massive number of antennas, much larger bandwidths, and much denser base stations) has forced standardization bodies like 3GPP to seriously consider the energy-savings capabilities needed to achieve a better EE performance. However, since the energy consumption of the actual hardware and software is closely related to the specific implementation schemes and operation scenarios, there is a lack of precise specifications for EE across standardization organizations.
Year
DOI
Venue
2021
10.1109/TGCN.2021.3057247
IEEE Transactions on Green Communications and Networking
DocType
Volume
Issue
Journal
5
1
ISSN
Citations 
PageRank 
2473-2400
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Chih-Lin I12167211.25