Abstract
In this paper, we explore the application of reconfigurable 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 beamforming, 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 convergence 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.
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