  The densely packed antennas of millimeter-Wave (mmWave) MIMO systems are
often blocked by the rain, snow, dust and even by fingers, which will change
the channel's characteristics and degrades the system's performance. In order
to solve this problem, we propose a cross-entropy inspired antenna array
diagnosis detection (CE-AAD) technique by exploiting the correlations of
adjacent antennas, when blockages occur at the transmitter. Then, we extend the
proposed CE-AAD algorithm to the case, where blockages occur at transmitter and
receiver simultaneously. Our simulation results show that the proposed CE-AAD
algorithm outperforms its traditional counterparts.
