Kavli Affiliate: Feng Wang
| First 5 Authors: Yingbin Lin, Feng Wang, Xiao Zhang, Guojun Han, Vincent K. N. Lau
| Summary:
This paper considers a hybrid reconfigurable intelligent surface (RIS)
assisted integrated sensing and communication (ISAC) system, where each RIS
element can flexibly switch between the active and passive modes. Subject to
the signal-to-interference-plus-noise ratio (SINR) constraint for each
communication user (CU) and the transmit power constraints for both the base
station (BS) and the active RIS elements, with the objective of maximizing the
minimum beampattern gain among multiple targets, we jointly optimize the BS
transmit beamforming for ISAC and the mode selection of each RIS reflecting
element, as well as the RIS reflection coefficient matrix. Such formulated
joint hybrid-RIS assisted ISAC design problem is a mixed-integer nonlinear
program, which is decomposed into two low-dimensional subproblems being solved
in an alternating manner. Specifically, by using the semidefinite relaxation
(SDR) technique along with the rank-one beamforming construction process, we
efficiently obtain the optimal ISAC transmit beamforming design at the BS. Via
the SDR and successive convex approximation (SCA) techniques, we jointly
determine the active/passive mode selection and reflection coefficient for each
RIS element. Numerical results demonstrate that the proposed design solution is
significantly superior to the existing baseline solutions.
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