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Capacity Analysis of IRS-Based UAV Communications with Imperfect Phase Compensation

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posted on 2021-02-18, 01:44 authored by MOHAMMAD AHMAD Al-JarrahMOHAMMAD AHMAD Al-Jarrah, Emad Alsusa, Arafat Al-DweikArafat Al-Dweik, Daniel K. C. So
This paper presents the capacity analysis of unmanned aerial vehicles (UAVs) communications supported by flying intelligent reflecting surfaces (IRSs). In the considered system, some of the UAVs are equipped with an IRS panel that applies certain phase-shifts to the incident waves before being reflected to the receiving UAV. In contrast to existing work, this letter considers the effect of imperfect phase knowledge on the system capacity, where the phase error is modeled as a von Mises random variable with parameter k. Analytical results, corroborated by Monte Carlo simulations, show that the achievable capacity is dependent on the phase error, however, the capacity loss becomes negligible at high signal-to-noise ratio (SNR) and when k>6.


This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme through the Marie Sklodowska-Curie under Grant 812991.


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University of Manchester

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  • United Kingdom