Reconfigurable Intelligent Surface-Aided Dual-Function Radar and Communication Systems With MU-MIMO Communication
arxiv(2024)
摘要
In this paper, we investigate an reconfigurable intelligent surface
(RIS)-aided integrated sensing and communication (ISAC) system. Our objective
is to maximize the achievable sum rate of the multi-antenna communication users
through the joint active and passive beamforming. Specifically, the weighted
minimum mean-square error (WMMSE) method is first used to reformulate the
original problem into an equivalent one. Then, we utilize an alternating
optimization (AO) algorithm to decouple the optimization variables and
decompose this challenging problem into two subproblems. Given reflecting
coefficients, a penalty-based algorithm is utilized to deal with the non-convex
radar signal-to-noise ratio (SNR) constraints. For the given beamforming matrix
of the BS, we apply majorization-minimization (MM) to transform the problem
into a quadratic constraint quadratic programming (QCQP) problem, which is
ultimately solved using a semidefinite relaxation (SDR)-based algorithm.
Simulation results illustrate the advantage of deploying RIS in the considered
multi-user MIMO (MU-MIMO) ISAC systems.
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