RIS-assisted Integrated Sensing and Communication Systems Transmission Scheme Design Based on Manifold Optimization
Aiming at the joint design problem of active and passive beamforming in Reconfigurable Intelligent Surface(RIS)aided Integrated Sensing and Communication(IS AC)systems,we propose a joint design scheme for user communication sum rate maximization based on manifold optimization.With the objective of maximizing user communication sum rate,the scheme models the joint active and passive beamforming optimization problem under the manifold constraints,taking into account the constant norm constraints of the RIS reflection coefficient,the maximum transmit power constraints of the base station,and the transmit beam sensing performance con-straints.To tackle nonconvex optimization problem,we propose a Manifold Optimization-based Alternating Algorithm(MO-AA).This algorithm leverages advantages of manifold optimization in solving nonconvex constraint problems.Simulation results show that the de-ployment of RIS in ISAC systems can improve communication quality of service and the proposed algorithm has a higher communication sum rate than existing algorithms.
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