Terahertz Communication with MIMO-OFDM in FANETs for 6G
Nazifa Mustari1, Muhammet Ali Karabulut2, A. F. M. Shahen Shah1, *, Ufuk Tureli1
Identifiers and Pagination:Year: 2023
E-location ID: e187444782301180
Publisher ID: e187444782301180
Article History:Received Date: 23/01/2023
Revision Received Date: 12/05/2023
Acceptance Date: 13/06/2023
Electronic publication date: 16/08/2023
Collection year: 2023
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Unmanned aerial vehicles (UAVs) are envisioned in several intelligent transport system (ITS) application fields due to their autonomous operation, mobility, and communication/processing capabilities.
In order to increase performance, dependability, and customer satisfaction, wireless communications are being used for essential and noncritical services in a variety of transportation systems. Terahertz (THz) communication aims to raise the wireless communication frequency band to the terahertz level and is one of the technologies that shows the most promise in addressing needs like the exponential increase in the number of devices, the necessity for higher data rates, and the need for larger channel capacity. For meeting the demands of 5G and 6G users, the hybrid combination of multiple input multiple output (MIMO) and orthogonal frequency division multiplexing (OFDM) appears to be an excellent technology. Therefore, it is essential to investigate the performance of THz communication with MIMO-OFDM in flying ad hoc networks (FANETs) for 6G. FANETs are multi-UAV systems arranged in an ad hoc way.
In this paper, the performance of the THz communication with MIMO-OFDM in FANETs for 6G is evaluated. The Markov chain model-based analytical study is used to derive how parameters and performance measures relate to one another.
The equations for path loss, outage probability, bit error rate, and throughput are attained. Moreover, numerical results are shown to justify the outcomes of the analytical studies.