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Full Length Article | Open Access

Cooperative THz communication for UAVs in 6G and beyond

Nazifa MustariaMuhammet Ali KarabulutbA.F.M. Shahen Shaha()Ufuk Turelia
Department of Electronics and Communication Engineering, Yildiz Technical University, Turkey
Department of Electrical Electronics Engineering, Faculty of Engineering and Architecture, Kafkas University, Kars, Turkey
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HIGHLIGHTS

● This paper proposes a cooperative THz communication system for FANETs.

● A Markov chain model-based analytical approach is provided. The relationships between the parameters are obtained.

● Numerical results are provided to verify the analytical study.

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Abstract

One of the key components of any smart city is considered to be its intelligent transportation systems (ITSs). Unmanned aerial vehicles (UAVs) are envisioned in several ITS application fields because of their autonomous operation, mobility, communication/processing capabilities, and other factors. In this paper, cooperative terahertz (THz) communication is proposed for flying ad hoc networks (FANETs), which is a particular kind of network made up of a collection of small UAVs linked in an ad hoc fashion and working together to accomplish high-level objectives. The frequency spectrum for wireless communication has been expanding continuously in order to meet the demand for bandwidth. For the forthcoming 6G and beyond, communications in the THz range will be vital, similar to how mmWave-band communications are currently influencing the 5G of wireless mobile communications. The finite state machine (FSM) of the proposed cooperative communication system for THz band is presented. A Markov chain model-based analytical study is carried out, which derives relationships among parameters. Furthermore, numerical results are provided to support the analytical study.

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Green Energy and Intelligent Transportation
Article number: 100131
Cite this article:
Mustari N, Karabulut MA, Shahen Shah A, et al. Cooperative THz communication for UAVs in 6G and beyond. Green Energy and Intelligent Transportation, 2024, 3(1): 100131. https://doi.org/10.1016/j.geits.2023.100131
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