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Pregled bibliografske jedinice broj: 1126244

Modeling and Analysis of Data and Coverage Energy-efficiency for Different Demographic Areas in 5G Networks


Lorincz Josip; Klarin Zvonimir; Begušić Dinko
Modeling and Analysis of Data and Coverage Energy-efficiency for Different Demographic Areas in 5G Networks // IEEE Systems Journal, / (2021), /; 1-12 doi:10.1109/JSYST.2021.3074100 (međunarodna recenzija, članak, znanstveni)


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Naslov
Modeling and Analysis of Data and Coverage Energy-efficiency for Different Demographic Areas in 5G Networks

Autori
Lorincz Josip ; Klarin Zvonimir ; Begušić Dinko

Izvornik
IEEE Systems Journal (1932-8184) (2021); 1-12

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

Ključne riječi
5G ; base station (BS) ; cellular ; demography ; density ; energy-efficient ; green ; key performance indicators (KPI) ; metric ; mobile ; network ; traffic ; users

Sažetak
It is expected that fifth-generation (5G) mobile networks will need to accommodate vast data traffic volumes. The practical implementation of 5G networks is further challenged by the presence of versatile demographic areas differing in user density and expected transmission rates. Accommodating the increased traffic demands in such versatile demographic areas mandates the installation of different in size, number, and capacity 5G base stations (BSs), which will have an impact on the energy consumption of the 5G network. In this article, for the square kilometer area of the radio part of the 5G network, standardized network energy-efficiency (EE) metrics are presented. The EE analysis of the 5G network was performed for four different demographic areas (indoor hotspot, dense urban, urban, and rural) and two standardized data (bit/J) and coverage (m2/J) EE metrics. To determine how the different 5G BSs deployment strategies affect the network’s EE, five different 5G BSs installation and operation strategies have been analyzed for each demographic area. Interpolation functions expressing the impact of the data volume (DV) on the data and coverage EE metrics have been developed for each demographic area and network installation and operation scenario. The obtained results show that the DVs of the different demographic areas significantly impact the standardized EE metrics.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Veleučilište u Šibeniku

Profili:

Avatar Url Dinko Begušić (autor)

Avatar Url Zvonimir Klarin (autor)

Avatar Url Josip Lörincz (autor)

Citiraj ovu publikaciju

Lorincz Josip; Klarin Zvonimir; Begušić Dinko
Modeling and Analysis of Data and Coverage Energy-efficiency for Different Demographic Areas in 5G Networks // IEEE Systems Journal, / (2021), /; 1-12 doi:10.1109/JSYST.2021.3074100 (međunarodna recenzija, članak, znanstveni)
Lorincz Josip, Klarin Zvonimir & Begušić Dinko (2021) Modeling and Analysis of Data and Coverage Energy-efficiency for Different Demographic Areas in 5G Networks. IEEE Systems Journal, / (/), 1-12 doi:10.1109/JSYST.2021.3074100.
@article{article, author = {Lorincz Josip, Klarin Zvonimir and Begu\v{s}i\'{c} Dinko}, year = {2021}, pages = {1-12}, DOI = {10.1109/JSYST.2021.3074100}, keywords = {5G, base station (BS), cellular, demography, density, energy-efficient, green, key performance indicators (KPI), metric, mobile, network, traffic, users}, journal = {IEEE Systems Journal}, doi = {10.1109/JSYST.2021.3074100}, volume = {/}, number = {/}, issn = {1932-8184}, title = {Modeling and Analysis of Data and Coverage Energy-efficiency for Different Demographic Areas in 5G Networks}, keyword = {5G, base station (BS), cellular, demography, density, energy-efficient, green, key performance indicators (KPI), metric, mobile, network, traffic, users} }
@article{article, author = {Lorincz Josip, Klarin Zvonimir and Begu\v{s}i\'{c} Dinko}, year = {2021}, pages = {1-12}, DOI = {10.1109/JSYST.2021.3074100}, keywords = {5G, base station (BS), cellular, demography, density, energy-efficient, green, key performance indicators (KPI), metric, mobile, network, traffic, users}, journal = {IEEE Systems Journal}, doi = {10.1109/JSYST.2021.3074100}, volume = {/}, number = {/}, issn = {1932-8184}, title = {Modeling and Analysis of Data and Coverage Energy-efficiency for Different Demographic Areas in 5G Networks}, keyword = {5G, base station (BS), cellular, demography, density, energy-efficient, green, key performance indicators (KPI), metric, mobile, network, traffic, users} }

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


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