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Pregled bibliografske jedinice broj: 1168593

How Trend of Increasing Data Volume Affects the Energy Efficiency of 5G Networks


Lorincz, Josip; Klarin, Zvonimir
How Trend of Increasing Data Volume Affects the Energy Efficiency of 5G Networks // Sensors, 2022 (2021), 22(1); 1-18 doi:10.3390/s22010255 (međunarodna recenzija, članak, znanstveni)


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Naslov
How Trend of Increasing Data Volume Affects the Energy Efficiency of 5G Networks

Autori
Lorincz, Josip ; Klarin, Zvonimir

Izvornik
Sensors (1424-8220) 2022 (2021), 22(1); 1-18

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
green communications ; green networking ; 5G ; radio access network ; base station ; ener-gy-efficiency ; metric ; data ; coverage ; power ; mobile network operator ; wireless

Sažetak
As the rapid growth of mobile users and Internet- of- Everything devices will continue in the up- coming decade, more and more network capacity will be needed to accommodate such a con-stant increase in data volumes (DVs). To satisfy such a vast DV increase, the implementation of the fifth- generation (5G) and future sixth-generation (6G) mobile networks will be based on heterogeneous networks (HetNets) composed of macro base stations (BSs) dedicated to ensuring basic signal coverage and capacity, and small BSs dedicated to satisfying capacity for increased DVs at locations of traffic hotspots. An approach that can accommodate constantly increasing DVs is based on adding additional capacity in the network through the deployment of new BSs as DV increases. Such an approach represents an implementation challenge to mobile network operators (MNOs), which is reflected in the increased power consumption of the radio access part of the mobile network and degradation of network energy efficiency (EE). In this study, the impact of the expected increase of DVs through the 2020s on the EE of the 5G radio access net-work (RAN) was analyzed by using standardized data and coverage EE metrics. An analysis was performed for five different macro and small 5G BS implementation and operation scenarios and for rural, urban, dense-urban and indoor-hotspot device density classes (areas). The results of analyses reveal a strong influence of increasing DV trends on standardized data and coverage EE metrics of 5G HetNets. For every device density class characterized with increased DVs, we here elaborate on the process of achieving the best and worse combination of data and coverage EE metrics for each of the analyzed 5G BSs deployment and operation approaches. This elaboration is further extended on the analyses of the impact of 5G RAN instant power consumption and 5G RAN yearly energy consumption on values of standardized EE metrics. The presented analyses can serve as a reference in the selection of the most appropriate 5G BS deployment and operation approach, which will simultaneously ensure the transfer of permanently increasing DVs in a specific device density class and the highest possible levels of data and coverage EE metrics.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Profili:

Avatar Url Zvonimir Klarin (autor)

Avatar Url Josip Lörincz (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Lorincz, Josip; Klarin, Zvonimir
How Trend of Increasing Data Volume Affects the Energy Efficiency of 5G Networks // Sensors, 2022 (2021), 22(1); 1-18 doi:10.3390/s22010255 (međunarodna recenzija, članak, znanstveni)
Lorincz, J. & Klarin, Z. (2021) How Trend of Increasing Data Volume Affects the Energy Efficiency of 5G Networks. Sensors, 2022 (22(1)), 1-18 doi:10.3390/s22010255.
@article{article, author = {Lorincz, Josip and Klarin, Zvonimir}, year = {2021}, pages = {1-18}, DOI = {10.3390/s22010255}, keywords = {green communications, green networking, 5G, radio access network, base station, ener-gy-efficiency, metric, data, coverage, power, mobile network operator, wireless}, journal = {Sensors}, doi = {10.3390/s22010255}, volume = {2022}, number = {22(1)}, issn = {1424-8220}, title = {How Trend of Increasing Data Volume Affects the Energy Efficiency of 5G Networks}, keyword = {green communications, green networking, 5G, radio access network, base station, ener-gy-efficiency, metric, data, coverage, power, mobile network operator, wireless} }
@article{article, author = {Lorincz, Josip and Klarin, Zvonimir}, year = {2021}, pages = {1-18}, DOI = {10.3390/s22010255}, keywords = {green communications, green networking, 5G, radio access network, base station, ener-gy-efficiency, metric, data, coverage, power, mobile network operator, wireless}, journal = {Sensors}, doi = {10.3390/s22010255}, volume = {2022}, number = {22(1)}, issn = {1424-8220}, title = {How Trend of Increasing Data Volume Affects the Energy Efficiency of 5G Networks}, keyword = {green communications, green networking, 5G, radio access network, base station, ener-gy-efficiency, metric, data, coverage, power, mobile network operator, wireless} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka::


  • Analytical Abstracts
  • CAB Abstracts
  • EMBASE (Excerpta Medica)
  • INSPEC


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