Methodology for Modeling the Energy and Material Footprint of Future Telecommunication Networks
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-6775-9_15
Reference26 articles.
1. Ali E et al (2017) Beamforming techniques for massive MIMO systems in 5G: overview, classification, and trends for future research. FITEE 18(6):753–772
2. Andrae A (2017) Total consumer power consumption forecast. In: Proceedings nordic digital business summit. Helsinki, Finland
3. Andrae A (2019) Prediction studies of electricity use of global computing in 2030. Int J Sci Eng Invest 8(86)
4. Andrae ASG, Edler T (2015) On global electricity usage of communication technology: trends to 2030. Challenges 6:117–157
5. Bjornson E, Hoydis J, Sanguinetti L (2017) Massive MIMO networks: spectral, energy, and hardware efficiency. Now Publishers Inc.
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