Methodology for Modeling the Energy and Material Footprint of Future Telecommunication Networks

[1]  Rosdiadee Nordin,et al.  Beamforming techniques for massive MIMO systems in 5G: overview, classification, and trends for future research , 2017, Frontiers of Information Technology & Electronic Engineering.

[2]  Josef A. Nossek,et al.  A Comparison of Hybrid Beamforming and Digital Beamforming With Low-Resolution ADCs for Multiple Users and Imperfect CSI , 2017, IEEE Journal of Selected Topics in Signal Processing.

[3]  Emil Björnson,et al.  Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency , 2018, Found. Trends Signal Process..

[4]  Anders S. G. Andrae,et al.  Emerging Trends in Electricity Consumption for Consumer ICT , 2013 .

[5]  Andreas Gladisch,et al.  Analysis of the energy consumption in telecom operator networks , 2015, Photonic Network Communications.

[6]  Marina Proske,et al.  Energy efficiency of ICT: Further improvement through customized products , 2016, 2016 Electronics Goes Green 2016+ (EGG).

[7]  Seungmo Kim,et al.  Human Exposure to RF Fields in 5G Downlink , 2017 .

[8]  J. Malmodin,et al.  The Energy and Carbon Footprint of the Global ICT and E&M Sectors 2010–2015 , 2018, Sustainability.

[9]  Xiaohu Ge,et al.  Energy Efficiency Challenges of 5G Small Cell Networks , 2017, IEEE Communications Magazine.

[10]  Lena Wosinska,et al.  Modeling energy performance of C-RAN with optical transport in 5G network scenarios , 2016, IEEE/OSA Journal of Optical Communications and Networking.

[11]  Hanna Pihkola,et al.  Evaluating the Energy Consumption of Mobile Data Transfer—From Technology Development to Consumer Behaviour and Life Cycle Thinking , 2018, Sustainability.

[12]  Yasushi Umeda,et al.  Describing Long-Term Electricity Demand Scenarios in the Telecommunications Industry: A Case Study of Japan , 2016 .

[13]  Anders S. G. Andrae,et al.  On Global Electricity Usage of Communication Technology: Trends to 2030 , 2015 .

[14]  Valentin Poirot,et al.  Energy efficient multi-connectivity for ultra-dense networks , 2017 .

[15]  Nils F. Nissen,et al.  Between the User and the Cloud: Assessing the Energy Footprint of the Access Network Devices , 2019 .