6G IoV Networks Driven by RF Digital Twin Modeling

Zengcan Liu; Houjun Sun; Gintare Marine; Hulin Wu

doi:10.1109/TITS.2023.3292533

6G IoV Networks Driven by RF Digital Twin Modeling

Zengcan Liu^*
, Houjun Sun
, Gintare Marine
, Hulin Wu

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology
Southwest Technology and Engineering Research Institute
TeraGlobus

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	2976-2986
Number of pages	11
Journal	IEEE Transactions on Intelligent Transportation Systems
Volume	25
Issue number	3
DOIs	https://doi.org/10.1109/TITS.2023.3292533
Publication status	Published - 1 Mar 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy efficiency
IoV
SAGIN
digital twin
mmWave channel modelling

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10.1109/TITS.2023.3292533

Cite this

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title = "6G IoV Networks Driven by RF Digital Twin Modeling",

abstract = "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.",

keywords = "Energy efficiency, IoV, SAGIN, digital twin, mmWave channel modelling",

author = "Zengcan Liu and Houjun Sun and Gintare Marine and Hulin Wu",

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AU - Sun, Houjun

AU - Marine, Gintare

AU - Wu, Hulin

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N2 - 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.

AB - 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.

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KW - IoV

KW - SAGIN

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KW - mmWave channel modelling

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JO - IEEE Transactions on Intelligent Transportation Systems

JF - IEEE Transactions on Intelligent Transportation Systems

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ER -

6G IoV Networks Driven by RF Digital Twin Modeling

Abstract

UN SDGs

Keywords

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