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Integrated sensing and communication (ISAC) has been envisioned as apromising technique to alleviate the spectrum congestion problem. Inspired bythe applications of reconfigurable intelligent surface (RIS) in dynamicallymanipulating wireless propagation environment, in this paper, we investigate todeploy a RIS in an ISAC system to pursue performance improvement. Particularly,we consider a RIS-assisted ISAC system where a multi-antenna base station (BS)performs multi-target detection and multi-user communication with theassistance of a RIS. Our goal is maximizing the weighted summation of targetdetection signal-to-noise ratios (SNRs) by jointly optimizing the transmitbeamforming and the RIS reflection coefficients, while satisfying thecommunication quality-of-service (QoS) requirement, the total transmit powerbudget, and the restriction of RIS phase-shift. An efficient alternatingoptimization algorithm combining the majorization-minimization (MM),penalty-based, and manifold optimization methods is developed to solve theresulting complicated non-convex optimization problem. Simulation resultsillustrate the advantages of deploying RIS in ISAC systems and theeffectiveness of our proposed algorithm.

RIS-Aided Integrated Sensing and Communication: Joint Beamforming and Reflection Design