A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases
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 desi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/16/5578 |
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| author | Panagiotis Trakadas Lambros Sarakis Anastasios Giannopoulos Sotirios Spantideas Nikolaos Capsalis Panagiotis Gkonis Panagiotis Karkazis Giovanni Rigazzi Angelos Antonopoulos Marta Amor Cambeiro Sergio Gonzalez-Diaz Luís Conceição |
| author_facet | Panagiotis Trakadas Lambros Sarakis Anastasios Giannopoulos Sotirios Spantideas Nikolaos Capsalis Panagiotis Gkonis Panagiotis Karkazis Giovanni Rigazzi Angelos Antonopoulos Marta Amor Cambeiro Sergio Gonzalez-Diaz Luís Conceição |
| author_sort | Panagiotis Trakadas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T08:23:25Z |
| format | Article |
| id | doaj.art-6205b0b99ec64a4a93a190709da51b7b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:23:25Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6205b0b99ec64a4a93a190709da51b7b2023-11-22T09:42:11ZengMDPI AGSensors1424-82202021-08-012116557810.3390/s21165578A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use CasesPanagiotis Trakadas0Lambros Sarakis1Anastasios Giannopoulos2Sotirios Spantideas3Nikolaos Capsalis4Panagiotis Gkonis5Panagiotis Karkazis6Giovanni Rigazzi7Angelos Antonopoulos8Marta Amor Cambeiro9Sergio Gonzalez-Diaz10Luís Conceição11General Department, National and Kapodistrian University of Athens, 34400 Psachna, GreeceGeneral Department, National and Kapodistrian University of Athens, 34400 Psachna, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 15780 Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 15780 Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., 15780 Athens, GreeceGeneral Department, National and Kapodistrian University of Athens, 34400 Psachna, GreeceDepartment of Informatics and Computer Engineering, School of Engineering, University of West Attica, 12243 Athens, GreeceResearch and Innovation Department, i2CAT Foundation, Gran Capità 2-4 Edifici Nexus I 2ª Planta, 08034 Barcelona, SpainResearch and Innovation Department, NearbyComputing S.L., Travessera de Gràcia 18, 3r, 3a, 08021 Barcelona, SpainResearch and Innovation Department, Nemergent Solutions SL, Ribera de Axpe, 6, 48950 Erandio, SpainResearch and Innovation Department, Atos, Calle Albarracin 25, 28037 Madrid, SpainResearch and Innovation Department, Ubiwhere, Tv. do Sr. das Barrocas 38, 3800-075 Aveiro, PortugalThe 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.https://www.mdpi.com/1424-8220/21/16/55785Gprivate networksO-RANnetwork monitoring and telemetryAI/ML based network optimizationtime sensitive networking |
| spellingShingle | Panagiotis Trakadas Lambros Sarakis Anastasios Giannopoulos Sotirios Spantideas Nikolaos Capsalis Panagiotis Gkonis Panagiotis Karkazis Giovanni Rigazzi Angelos Antonopoulos Marta Amor Cambeiro Sergio Gonzalez-Diaz Luís Conceição A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases Sensors 5G private networks O-RAN network monitoring and telemetry AI/ML based network optimization time sensitive networking |
| title | A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases |
| title_full | A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases |
| title_fullStr | A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases |
| title_full_unstemmed | A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases |
| title_short | A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases |
| title_sort | cost efficient 5g non public network architectural approach key concepts and enablers building blocks and potential use cases |
| topic | 5G private networks O-RAN network monitoring and telemetry AI/ML based network optimization time sensitive networking |
| url | https://www.mdpi.com/1424-8220/21/16/5578 |
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