67 research outputs found
Enhancing Cellular Communications for UAVs via Intelligent Reflective Surface
Intelligent reflective surfaces (IRSs) capable of reconfiguring their
electromagnetic absorption and reflection properties in real-time are offering
unprecedented opportunities to enhance wireless communication experience in
challenging environments. In this paper, we analyze the potential of IRS in
enhancing cellular communications for UAVs, which currently suffers from poor
signal strength due to the down-tilt of base station antennas optimized to
serve ground users. We consider deployment of IRS on building walls, which can
be remotely configured by cellular base stations to coherently direct the
reflected radio waves towards specific UAVs in order to increase their received
signal strengths. Using the recently released 3GPP ground-to-air channel
models, we analyze the signal gains at UAVs due to the IRS deployments as a
function of UAV height as well as various IRS parameters including size,
altitude, and distance from base station. Our analysis suggests that even with
a small IRS, we can achieve significant signal gain for UAVs flying above the
cellular base station. We also find that the maximum gain can be achieved by
optimizing the location of IRS including its altitude and distance to BS.Comment: 6 pages, 6 figure
Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces
A realistic performance assessment of any wireless technology requires the
use of a channel model that reflects its main characteristics. The independent
and identically distributed Rayleigh fading channel model has been (and still
is) the basis of most theoretical research on multiple antenna technologies in
scattering environments. This letter shows that such a model is not physically
appearing when using a reconfigurable intelligent surface (RIS) with
rectangular geometry and provides an alternative physically feasible Rayleigh
fading model that can be used as a baseline when evaluating RIS-aided
communications. The model is used to revisit the basic RIS properties, e.g.,
the rank of spatial correlation matrices and channel hardening.Comment: Published in IEEE Wireless Communications Letters, 6 pages, 4 figure
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