Pregled bibliografske jedinice broj: 811230
What is the Best Spatial Distribution to Model Base Station Density? A Deep Dive in Two European Mobile Networks
What is the Best Spatial Distribution to Model Base Station Density? A Deep Dive in Two European Mobile Networks // IEEE access, 4 (2016), 1434-1443 doi:10.1109/ACCESS.2016.2552981 (međunarodna recenzija, članak, znanstveni)
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Naslov
What is the Best Spatial Distribution to Model Base Station Density? A Deep Dive in Two European Mobile Networks
(Which is the Best Spatial Distribution to Model Base Station Density? A Deep Dive in Two European Mobile Networks)
Autori
Chiaraviglio, Luca ; Cuomo, Francesca ; Maisto, Maurizio ; Gigli, Andrea ; Lorincz, Josip ; Zhou, Yifan ; Zhao, Zhifeng ; Qi, Chen ; Zhang, Honggang
Izvornik
IEEE access (2169-3536) 4
(2016);
1434-1443
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Cellular networks ; Base stations ; 3G mobile communication ; 4G mobile communication
Sažetak
This paper studies the base station (BS) spatial distributions across different scenarios in urban, rural, and coastal zones, based on real BS deployment data sets obtained from two European countries (i.e., Italy and Croatia). Basically, this paper takes into account different representative statistical distributions to characterize the probability density function of the BS spatial density, including Poisson, generalized Pareto, Weibull, lognormal, and α-Stable. Based on a thorough comparison with real data sets, our results clearly assess that the α-Stable distribution is the most accurate one among the other candidates in urban scenarios. This finding is confirmed across different sample area sizes, operators, and cellular technologies (GSM/UMTS/LTE). On the other hand, the lognormal and Weibull distributions tend to fit better the real ones in rural and coastal scenarios. We believe that the results of this paper can be exploited to derive fruitful guidelines for BS deployment in a cellular network design, providing various network performance metrics, such as coverage probability, transmission success probability, throughput, and delay.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Josip Lörincz
(autor)
Citiraj ovu publikaciju:
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
Uključenost u ostale bibliografske baze podataka::
- Inspec, Ei Compendex, Scopus, EBSCOhost, Google Scholar, IEEE Xplore, Directory of Open Access Journals (DOAJ), Science Citations Index Expanded (Web of Science), Journal Citation Report/Science Edition