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