| dc.description.abstract | In this letter, we explore the application of recon- figurable intelligent surface (RIS) in the integrated sensing and communication network, where a full-duplex multi-antenna base station (BS) concurrently detects a target and communicates with a user equipment (UE). Our objective is to maximize the UE’s transmission rate by jointly optimizing the BS’s transmit beam- forming, UE’s transmit power, and RIS’s phase shifts, while satisfying the condition on the minimum required sensing power. We develop a block coordinate ascend-based iterative algorithm to solve the formulated problem, which guarantees the conver- gence to at least a local optimum. Numerical results show the efficiency of the proposed solution as well as the trade-off between the UE’s transmission rate and the required sensing power, along with the efficiency of employing RIS. | en_US |
