Digital Twin-Assisted OWC: Towards Smart and Autonomous 6G Networks

Hossien B. Eldeeb, Shimaa Naser, Lina Bariah, Sami Muhaidat, Murat Uysal

Research output: Contribution to journalArticlepeer-review

Abstract

With the advancements of high-resolution cameras, highly sensitive photodetectors, and energy-efficient light-emitting-diodes, optical wireless communication (OWC) has emerged as key-enabling technology for 6G. Similarly, digital twin (DT) technology has recently been 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. Within DT, various technology disciplines, including big data, artificial intelligence, intelligent computing, communication, and security-aware technologies, are integrated to create a virtual replica that reflects the physical system. Motivated by this, this paper 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 offering insights into 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 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.

Original languageEnglish (US)
Pages (from-to)1
Number of pages1
JournalIEEE Network
DOIs
StateAccepted/In press - 2024

Keywords

  • 6G mobile communication
  • Optical sensors
  • Optical transmitters
  • Radio frequency
  • Real-time systems
  • Wireless communication
  • Wireless sensor networks

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

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