5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges
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Abstract (arXiv)
In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Dec 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 3; 2024: 2; 2025: 1.
9 papers.
- 2023Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integrationcited by 5
- 2022Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Studycited by 4
- 2021The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directionscited by 3
- 2024Intelligent Data-Driven Architectural Features Orchestration for Network Slicingcited by 1
- 2024An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learningcited by 1
- 2022An Isolation-Aware Online Virtual Network Embedding via Deep Reinforcement Learningcited by 0
- 2023On Modeling Network Slicing Communication Resources with SARSA Optimizationcited by 0
- 20235G Network Slicing: Analysis of Multiple Machine Learning Classifierscited by 0
- 2025Towards Sustainability in 6G Network Slicing with Energy-Saving and Optimization Methodscited by 0
- 2025Towards Sustainability in 6G Network Slicing with Energy-Saving and Optimization Methods17 May 2025
- 2024An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning4 Oct 2024
- 2024Intelligent Data-Driven Architectural Features Orchestration for Network Slicing12 Jan 2024
- 20235G Network Slicing: Analysis of Multiple Machine Learning Classifiers3 Oct 2023
- 2023Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration18 Jul 2023
- 2023On Modeling Network Slicing Communication Resources with SARSA Optimization11 Jan 2023
- 2022An Isolation-Aware Online Virtual Network Embedding via Deep Reinforcement Learning25 Nov 2022
- 2022Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study3 Jan 2022
- 2021The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions6 Apr 2021