DIGITAL TWIN-BASED SIMULATION OF MVNO NETWORK OPERATIONS
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Sr. Solutions Architect & Engineering, MVNO Connect LLC, USA.
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Abstract
The proposed work presents a Digital Twin-based simulation framework for analyzing and optimizing Mobile Virtual Network Operator (MVNO) operations. The Digital Twin creates a virtual representation of the MVNO network to monitor traffic conditions, resource utilization, latency, throughput, and quality of service. Real-time and simulated network data are incorporated to evaluate operational behavior under different traffic scenarios. The framework enables performance prediction, resource allocation, and identification of potential network bottlenecks without affecting the physical infrastructure. Simulation-based analysis supports efficient decision-making and improves network reliability. The proposed approach demonstrates the potential of Digital Twin technology for intelligent, cost-effective, and adaptive MVNO network management.
Keywords
Digital Twin Mobile Virtual Network Operator (MVNO) Network Simulation Network Optimization Resource Allocation Quality of Service (QoS) Network Performance Traffic Management Virtual Network 5G Networks
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PUBLICATION DETAILS
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Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 02
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Feb 25 2026
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Cherladine, K. (2026). Digital Twin-Based Simulation of MVNO Network Operations. International Journal of Science, Strategic Management and Technology, 02(02), 1-9. https://doi.org/10.55041/ijsmt.v2i2.011
Cherladine, Karthick. "Digital Twin-Based Simulation of MVNO Network Operations." International Journal of Science, Strategic Management and Technology, vol. 02, no. 02, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijsmt.v2i2.011.
Cherladine, Karthick. "Digital Twin-Based Simulation of MVNO Network Operations." International Journal of Science, Strategic Management and Technology 02, no. 02 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.011.
References
[1] Y. Wu, K. Zhang, and Y. Zhang, “Digital Twin Networks: A Survey,” IEEE Internet of Things Journal, vol. 8, no. 18, pp. 13789–13804, 2021, doi: 10.1109/JIOT.2021.3079510.
[2] A. Cárdenas Córdova, D. Fernández, C. M. Lentisco, R. Flores Moyano, and L. Bellido, “Enhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators,” IEEE Access, vol. 9, pp. 131382–131399, 2021, doi: 10.1109/ACCESS.2021.3114645.
[3] Y. Lu, X. Huang, K. Zhang, S. Maharjan, and Y. Zhang, “Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks,” IEEE Transactions on Industrial Informatics, 2021.
[4] C. Zhou, H. Yang, X. Duan, D. López, A. Pastor, Q. Wu, and others, “Digital Twin Network: Concepts and Reference Architecture,” IETF Internet-Draft, 2021.
[5] A. Seilov, “The Concept of Building a Network of Digital Twins to Increase the Efficiency of Complex Telecommunication Systems,” Complexity, 2021, Art. no. 9480235.
[6] A. Masaracchia, V. Sharma, B. Canberk, O. A. Dobre, and T. Q. Duong, “Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead,” IEEE Open Journal of the Communications Society, vol. 3, pp. 2137–2150, 2022, doi: 10.1109/OJCOMS.2022.3219015.
[7] H. Ahmadi, A. Nag, Z. Khan, K. Sayrafian, and S. Rahardja, “Networked Twins and Twins of Networks: An Overview on the Relationship Between Digital Twins and 6G,” IEEE Communications Standards Magazine, 2022, doi: 10.1109/MCOMSTD.0001.2000041.
[8] B. R. Rallabandi, K. Cherladine, K. K. Gattupalli, and S. S. Mahadasu, “Context-Aware AI-RAN Observability Framework for Universal Connectivity in 6G Networks,” in 2025 IEEE Connecting the Unconnected Europe, Middle East, and Africa , 2025.
[9] M. Li, E. Garcia-Palacios, and T. Q. Duong, “Unmanned Aerial Vehicle-Aided Edge Networks With Ultra-Reliable Low-Latency Communications: A Digital Twin Approach,” IET Signal Processing, 2022, doi: 10.1049/sil2.12128.
[10] M. A. A. Mamun, et al., “Digital Twin-Driven Network Management for Beyond 5G and 6G Wireless Networks,” IEEE Access, 2022.
[2] A. Cárdenas Córdova, D. Fernández, C. M. Lentisco, R. Flores Moyano, and L. Bellido, “Enhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators,” IEEE Access, vol. 9, pp. 131382–131399, 2021, doi: 10.1109/ACCESS.2021.3114645.
[3] Y. Lu, X. Huang, K. Zhang, S. Maharjan, and Y. Zhang, “Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks,” IEEE Transactions on Industrial Informatics, 2021.
[4] C. Zhou, H. Yang, X. Duan, D. López, A. Pastor, Q. Wu, and others, “Digital Twin Network: Concepts and Reference Architecture,” IETF Internet-Draft, 2021.
[5] A. Seilov, “The Concept of Building a Network of Digital Twins to Increase the Efficiency of Complex Telecommunication Systems,” Complexity, 2021, Art. no. 9480235.
[6] A. Masaracchia, V. Sharma, B. Canberk, O. A. Dobre, and T. Q. Duong, “Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead,” IEEE Open Journal of the Communications Society, vol. 3, pp. 2137–2150, 2022, doi: 10.1109/OJCOMS.2022.3219015.
[7] H. Ahmadi, A. Nag, Z. Khan, K. Sayrafian, and S. Rahardja, “Networked Twins and Twins of Networks: An Overview on the Relationship Between Digital Twins and 6G,” IEEE Communications Standards Magazine, 2022, doi: 10.1109/MCOMSTD.0001.2000041.
[8] B. R. Rallabandi, K. Cherladine, K. K. Gattupalli, and S. S. Mahadasu, “Context-Aware AI-RAN Observability Framework for Universal Connectivity in 6G Networks,” in 2025 IEEE Connecting the Unconnected Europe, Middle East, and Africa , 2025.
[9] M. Li, E. Garcia-Palacios, and T. Q. Duong, “Unmanned Aerial Vehicle-Aided Edge Networks With Ultra-Reliable Low-Latency Communications: A Digital Twin Approach,” IET Signal Processing, 2022, doi: 10.1049/sil2.12128.
[10] M. A. A. Mamun, et al., “Digital Twin-Driven Network Management for Beyond 5G and 6G Wireless Networks,” IEEE Access, 2022.
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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