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Digital Twin-Assisted OWC: Towards Smart and Autonomous Networks
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  • Hossien Eldeeb ,
  • Shimaa Naser ,
  • Lina Bariah ,
  • Sami Muhaidat ,
  • Murat Uysal
Hossien Eldeeb
Khalifa University, Khalifa University

Corresponding Author:[email protected]

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Shimaa Naser
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Lina Bariah
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Sami Muhaidat
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Murat Uysal
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With the advancements of high-resolution cameras, highly sensitive photodetectors, and energy-efficient light-emittingdiodes, optical wireless communication (OWC) has emerged as keyenabling technology for 6G and beyond. Similarly, digital twin (DT) technology has been recently proposed to meet the diverse requirements of emerging applications and provide efficient optimization of the overall system resources by enabling self-sustaining and proactive online learning. In DT, various technology disciplines, including big data, artificial intelligence, machine learning, intelligent computing, communication, and security-aware technologies, are integrated to create a virtual replica that reflects the physical system. Motivated by this, the presented article discusses DT and its role in the reliable and ubiquitous implementation of OWC networks. We first provide an overview of this emerging research area by shedding light on the key enabling technologies and potential applications in the context of smart-autonomous OWC networks. Subsequently, we provide recent advancements and design aspects related to DT-assisted OWC systems. Finally, future research directions and the impact of different system and environmental factors on the overall network performance are discussed. To the best of the authors’ knowledge, this is the first in-depth review in the literature on the integration of DT with OWC networks.