6G IoV Networks Driven by RF Digital Twin Modeling

Internet of Vehicles (IoV) is a crucial component of 6G mobile network, where energy efficiency is a major concern. To achieve green communication in IoV, this paper proposes a digital twin (DT) method and develops related machine learning-based energy-efficient approach. The channel model examined in this paper takes into account incident waves reflected by moving objects and the impacts of radio signals between various vehicles. 3D ray tracing is used to model the millimeter-wave channel in IoV to reflect radio frequency(RF)-domain digital twin matching. Finally, we present numerical results to justify the effectiveness of our proposed scheme.

• Publication year

  2024

• Venue

  IEEE transactions on intelligent transportation systems (Print)

• Publication date

  2024-03-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/TITS.2023.3292533
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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