Evidence map›Paper›PMID 34451020›Full record

ArticleSensors (Basel, Switzerland)2021

A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases.

Panagiotis Trakadas, Lambros Sarakis, Anastasios Giannopoulos, Sotirios Spantideas, Nikolaos Capsalis, Panagiotis Gkonis, Panagiotis Karkazis, Giovanni Rigazzi, Angelos Antonopoulos, Marta Amor Cambeiro and 2 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
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  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Panagiotis TrakadasGeneral Department, National and Kapodistrian University of Athens, 34400 Psachna, Greece.ORCID 0000-0002-5146-5954
Lambros SarakisGeneral Department, National and Kapodistrian University of Athens, 34400 Psachna, Greece.
Anastasios GiannopoulosSchool of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 15780 Athens, Greece.ORCID 0000-0002-8602-7401
Sotirios SpantideasSchool of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 15780 Athens, Greece.
Nikolaos CapsalisSchool of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 15780 Athens, Greece.
Panagiotis GkonisGeneral Department, National and Kapodistrian University of Athens, 34400 Psachna, Greece.ORCID 0000-0001-8846-1044
Panagiotis KarkazisDepartment of Informatics and Computer Engineering, School of Engineering, University of West Attica, 12243 Athens, Greece.ORCID 0000-0003-4971-826X
Giovanni RigazziResearch and Innovation Department, i2CAT Foundation, Gran Capità 2-4 Edifici Nexus I 2ª Planta, 08034 Barcelona, Spain.
Angelos AntonopoulosResearch and Innovation Department, NearbyComputing S.L., Travessera de Gràcia 18, 3r, 3a, 08021 Barcelona, Spain.ORCID 0000-0002-3546-1080
Marta Amor CambeiroResearch and Innovation Department, Nemergent Solutions SL, Ribera de Axpe, 6, 48950 Erandio, Spain.
Sergio Gonzalez-DiazResearch and Innovation Department, Atos, Calle Albarracin 25, 28037 Madrid, Spain.
Luís ConceiçãoResearch and Innovation Department, Ubiwhere, Tv. do Sr. das Barrocas 38, 3800-075 Aveiro, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The provision of high data rate services to mobile users combined with improved quality of experience (i.e., zero latency multimedia content) drives technological evolution towards the design and implementation of fifth generation (5G) broadband wireless networks. To this end, a dynamic network design approach is adopted whereby network topology is configured according to service demands. In parallel, many private companies are interested in developing their own 5G networks, also referred to as non-public networks (NPNs), since this deployment is expected to leverage holistic production monitoring and support critical applications. In this context, this paper introduces a 5G NPN architectural approach, supporting among others various key enabling technologies, such as cell densification, disaggregated RAN with open interfaces, edge computing, and AI/ML-based network optimization. In the same framework, potential applications of our proposed approach in real world scenarios (e.g., support of mission critical services and computer vision analytics for emergencies) are described. Finally, scalability issues are also highlighted since a deployment framework of our architectural design in an additional real-world scenario related to Industry 4.0 (smart manufacturing) is also analyzed.

Indexed as

Social NetworkingWireless TechnologyMultimediaTechnology5GAI/ML based network optimizationnetwork monitoring and telemetryO-RANprivate networkstime sensitive networking

Identifiers

PMID34451020
PMCPMC8402263

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.