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IRS-Assisted UAV Communications with Imperfect Phase Compensation
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  • Arafat Al-Dweik ,
  • Mohammad Ahmad Al-Jarrah ,
  • Emad Alsusa ,
  • Mohamed-Slim Alouini ,
  • Youssef Iraqi
Arafat Al-Dweik
Khalifa University

Corresponding Author:[email protected]

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Mohammad Ahmad Al-Jarrah
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Emad Alsusa
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Mohamed-Slim Alouini
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Youssef Iraqi
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This work presents a performance analysis on unmanned aerial vehicles (UAVs) assisted wireless
communications systems, where one of the UAVs supports intelligent reflecting surfaces (IRS). As the
estimation and compensation of the end-to-end phase for each propagation path is prone to errors, imperfect
phase compensation at the IRS is taken into consideration. The performance is derived in terms of symbol
error rate (SER) and outage probability, where the phase error is modeled using the von Mises distribution.
The air-to-air (A2A) channel for
each propagation path is modeled as a single dominant line-of-sight (LoS) component, and the results are
compared to the Rician channel model. The obtained results reveal that the considered A2A model can be
used to accurately represent the A2A channel with Rician fading.