  The integration of Multi-Rotor Aerial Vehicles (MRAVs) into 5G and 6G
networks enhances coverage, connectivity, and congestion management. This
fosters communication-aware robotics, exploring the interplay between robotics
and communications, but also makes the MRAVs susceptible to malicious attacks,
such as jamming. One traditional approach to counter these attacks is the use
of beamforming on the MRAVs to apply physical layer security techniques. In
this paper, we explore pose optimization as an alternative approach to
countering jamming attacks on MRAVs. This technique is intended for
omnidirectional MRAVs, which are drones capable of independently controlling
both their position and orientation, as opposed to the more common
underactuated MRAVs whose orientation cannot be controlled independently of
their position. In this paper, we consider an omnidirectional MRAV serving as a
Base Station (BS) for legitimate ground nodes, under attack by a malicious
jammer. We optimize the MRAV pose (i.e., position and orientation) to maximize
the minimum Signal-to-Interference-plus-Noise Ratio (SINR) over all legitimate
nodes.
