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A cognitive radio (CR) network should have the ability to detect the presence of incumbent users and adjust its transmission in order to utilize unused licensed spectrum without causing interference to incumbent users. To effectively protect incumbent users, properly modeling expected interference from the CR system is therefore important. We model the(More)
In millimeter wave (mmWave) systems, the low-overhead and high-accuracy estimation of channel state information (CSI), especially the angle of departure (AoD) and the angle of arrival (AoA), is essential for hybrid beamforming. The existing adaptive compressed sensing (ACS) based channel estimation algorithm decides the angles by comparing the received(More)