  Integrated sensing and communication (ISAC) has been envisioned as a
promising technology to tackle the spectrum congestion problem for future
networks. In this correspondence, we investigate to deploy a reconfigurable
intelligent surface (RIS) in an ISAC system for achieving better performance.
In particular, a multi-antenna base station (BS) simultaneously serves multiple
single-antenna users with the assistance of a RIS and detects potential
targets. The active beamforming of the BS and the passive beamforming of the
RIS are jointly optimized to maximize the achievable sum-rate of the
communication users while satisfying the constraint of beampattern similarity
for radar sensing, the restriction of the RIS, and the transmit power budget.
An efficient alternating algorithm based on the fractional programming (FP),
majorization-minimization (MM), and manifold optimization methods is developed
to convert the resulting non-convex optimization problem into two solvable
sub-problems and iteratively solve them. Simulation studies illustrate the
advancement of deploying RIS in ISAC systems and the effectiveness of the
proposed algorithm.
