Coverage enhancement of UAV-enabled 6G networks via intelligent reflecting surfaces: towards optimal SINR

Mobasshir Mahbub () and Raed M. Shubair ()
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Mobasshir Mahbub: New York University (NYU) Abu Dhabi
Raed M. Shubair: New York University (NYU) Abu Dhabi

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 83, issue 2, No 4, 147-157

Abstract: Abstract Unmanned aerial vehicles (UAVs) have appeared as one of the key role players to bypass obstacles for improved wireless connectivity. Intelligent reflective surfaces (IRSs) can reconfigure the electromagnetic properties of the signal in real-time to offer an enhanced wireless communication experience by modifying environments. Research is ongoing to embed IRS with UAV to further improve the wireless propagation scenarios. The objective of the work is to enhance the signal-to-interference-plus-noise ratio (SINR) coverage probability in UAV-assisted 6 G multi-tier wireless networks, i.e., to assure optimal SINR coverage. Therefore, the work analyzed and compared the coverage probability of conventional and IRS-assisted UAV communications models employing the corresponding equations in the MATLAB-simulation approach. The research obtained that the deployment of IRS in UAV-assisted wireless networks enhances the SINR coverage probability significantly. Moreover, the installment of IRS in UAV networks reduces the energy consumption of the network.

Keywords: 6G; UAV; IRS; Coverage Probability; SINR (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11235-023-00999-2

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