Sökning: WFRF:(Caso Giuseppe)
> (2024) >
Empirical performan...
Empirical performance analysis and ML-based modeling of 5G non-standalone networks
-
- Kousias, Konstantinos (författare)
- University of Oslo, Norway
-
- Rajiullah, Mohammad, 1981- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
-
- Caso, Giuseppe (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
-
visa fler...
-
- Alay, Özgü (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),University of Oslo, Norway
-
- Brunstrom, Anna, 1967- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
-
- Ali, Usman (författare)
- Sapienza University of Rome, Italy
-
- De Nardis, Luca (författare)
- Sapienza University of Rome, Italy
-
- Neri, Marco (författare)
- Rohde & Schwarz, Italy
-
- Di Benedetto, Maria-Gabriella (författare)
- Sapienza University of Rome, Italy
-
visa färre...
-
(creator_code:org_t)
- Elsevier, 2024
- 2024
- Engelska.
-
Ingår i: Computer Networks. - : Elsevier. - 1389-1286 .- 1872-7069. ; 241
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://kau.diva-por... (primary) (Raw object)
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Fifth Generation (5G) networks are becoming the norm in the global telecommunications industry, and Mobile Network Operators (MNOs) are currently deploying 5G alongside their existing Fourth Generation (4G) networks. In this paper, we present results and insights from our large-scale measurement study on commercial 5G Non Standalone (NSA) deployments in a European country. We leverage the collected dataset, which covers two MNOs in Rome, Italy, to study network deployment and radio coverage aspects, and explore the performance of two use cases related to enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communication (URLLC). We further leverage a machine learning (ML)-based approach to model the Dual Connectivity (DC) feature enabled by 5G NSA. Our data-driven analysis shows that 5G NSA can provide higher downlink throughput and slightly lower latency compared to 4G. However, performance is influenced by several factors, including propagation conditions, system configurations, and handovers, ultimately highlighting the need for further system optimization. Moreover, by casting the DC modeling problem into a classification problem, we compare four supervised ML algorithms and show that a high model accuracy (up to 99%) can be achieved, in particular, when several radio coverage indicators from both access networks are used as input. Finally, we conduct analyses towards aiding the explainability of the ML models.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Nyckelord
- 5G mobile communication systems
- Machine learning
- Telecommunication industry
- 5g non standalone
- Empirical performance analysis
- Fourth-generation (4G) networks
- Global telecommunication
- Learning Based Models
- Machine-learning
- Mobile network operators
- Performance
- Radio coverage
- Telecommunications industry
- Wireless networks
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
Kousias, Konstan ...
-
Rajiullah, Moham ...
-
Caso, Giuseppe
-
Alay, Özgü
-
Brunstrom, Anna, ...
-
Ali, Usman
-
visa fler...
-
De Nardis, Luca
-
Neri, Marco
-
Di Benedetto, Ma ...
-
visa färre...
- Om ämnet
-
- TEKNIK OCH TEKNOLOGIER
-
TEKNIK OCH TEKNO ...
-
och Elektroteknik oc ...
-
och Telekommunikatio ...
-
- TEKNIK OCH TEKNOLOGIER
-
TEKNIK OCH TEKNO ...
-
och Elektroteknik oc ...
-
och Kommunikationssy ...
- Artiklar i publikationen
-
Computer Network ...
- Av lärosätet
-
Karlstads universitet