  In this paper, we investigate resource allocation algorithm design for
full-duplex (FD) cognitive radio systems. The secondary network employs a FD
base station for serving multiple half-duplex downlink and uplink users
simultaneously. We study the resource allocation design for minimizing the
maximum interference leakage to primary users while providing quality of
service for secondary users. The imperfectness of the channel state information
of the primary users is taken into account for robust resource allocation
algorithm design. The algorithm design is formulated as a non-convex
optimization problem and solved optimally by applying semidefinite programming
(SDP) relaxation. Simulation results not only show the significant reduction in
interference leakage compared to baseline schemes, but also confirm the
robustness of the proposed algorithm.
