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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study explores implementing a digital twin network (DTN) for efficient 6 G 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 generative 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.

Original languageEnglish
Title of host publication20th International Wireless Communications and Mobile Computing Conference, IWCMC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages232-237
Number of pages6
ISBN (Electronic)9798350361261
DOIs
Publication statusPublished - 2024
Event20th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2024 - Hybrid, Ayia Napa, Cyprus
Duration: 27 May 202431 May 2024

Publication series

Name20th International Wireless Communications and Mobile Computing Conference, IWCMC 2024

Conference

Conference20th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2024
Country/TerritoryCyprus
CityHybrid, Ayia Napa
Period27/05/2431/05/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

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