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The full-duplex (FD) technology has the potential to radically evolvewireless systems, facilitating the integration of both communications and radarfunctionalities into a single device, thus, enabling joint communication andsensing (JCAS). In this paper, we present a novel approach for JCAS thatincorporates a reconfigurable intelligent surface (RIS) in the near-field of anFD multiple-input multiple-output (MIMO) node, which is jointly optimized withthe digital beamformers to enable JSAC and efficiently handle self-interference(SI). We propose a novel problem formulation for FD MIMO JCAS systems tojointly minimize the total received power at the FD node's radar receiver whilemaximizing the sum rate of downlink communications subject to a Cram\'{e}r-Raobound (CRB) constraint. In contrast to the typically used CRB in the relevantliterature, we derive a novel, more accurate, target estimation bound thatfully takes into account the RIS deployment. The considered problem is solvedusing alternating optimization, which is guaranteed to converge to a localoptimum. The simulation results demonstrate that the proposed scheme achievessignificant performance improvement both for communications and sensing. It isshowcased that, jointly designing the FD MIMO beamformers and the RIS phaseconfiguration to be SI aware can significantly loosen the requirement foradditional SI cancellation.

Full-Duplex-Enabled Joint Communications and Sensing with Reconfigurable Intelligent Surfaces