What-if Analysis Framework for Digital Twins in 6G Wireless Network Management

Ak, Elif; Canberk, Berk; Sharma, Vishal; Dobre, Octavia A.; Duong, Trung Q.

Abstract

This study explores implementing a digital twin network (DTN) for efficient 6G wireless network management, aligning with the fault, configuration, accounting, performance, and security (FCAPS) model. The DTN architecture comprises the Physical Twin Layer, implemented using NS-3, and the Service Layer, featuring machine learning and reinforcement learning for optimizing carrier sensitivity threshold and transmit power control in wireless networks. We introduce a robust "What-if Analysis" module, utilizing conditional tabular gen-erative adversarial network for synthetic data generation to mimic various network scenarios. These scenarios assess four network performance metrics: throughput, latency, packet loss, and coverage. Our findings demonstrate the efficiency of the proposed what-if analysis framework in managing complex network conditions, highlighting the importance of the scenario-maker and the impact of twinning intervals on network performance.

Citation

Ak, E., Canberk, B., Sharma, V., Dobre, O. A., & Duong, T. Q. (2024, May). What-if Analysis Framework for Digital Twins in 6G Wireless Network Management. Presented at The 20th International Wireless Communications & Mobile Computing Conference (IWCMC 2024), Ayia Napa, Cyprus

• Presentation Conference Type: Conference Paper (published)
• Conference Name: The 20th International Wireless Communications & Mobile Computing Conference (IWCMC 2024)
• Start Date: May 27, 2024
• End Date: May 31, 2024
• Acceptance Date: Apr 30, 2024
• Online Publication Date: Jul 17, 2024
• Publication Date: 2024
• Deposit Date: Oct 11, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 232-237
• Series ISSN: 2376-6506
• Book Title: IWCMC 2024 Conference Proceedings
• ISBN: 9798350361278
• DOI: https://doi.org/10.1109/iwcmc61514.2024.10592526
• External URL: https://iwcmc.net/2024/