AI & ML
Joint Beamforming for Continuous Transmissive RIS-Enabled Multiuser Communications
arXiv math.IT0 views
arXiv:2610.07618v1 Announce Type: new Abstract: This paper studies continuous transmissive reconfigurable intelligent surface (CT-RIS)-enabled multiuser downlink communications, where passive beamforming is characterized by a phase function defined over the continuous aperture. We employ a distance-dependent spherical-wave model for the base station (BS)-to-CT-RIS link and introduce a finite-path model based on field-response vectors for the CT-RIS-to-user links. The resulting weighted sum rate maximization problem jointly optimizes the finite-dimensional BS precoders and the infinite-dimensional CT-RIS phase function, giving rise to a mixed finite- and infinite-dimensional non-convex optimization problem. To address this problem, we develop an alternating optimization algorithm that combines a closed-form BS precoder update with a functional phase update derived using the calculus of variations and minorization-maximization. Numerical results demonstrate that the proposed CT-RIS consistently outperforms the considered benchmarks, with the performance gains attributed to spatially continuous phase control and a larger effective receiving area.
Source:https://arxiv.org/abs/2610.07618PreviousOptimal Codes for the Coverage Depth Problem and the Performance of Random CodesNextCold-Atom Rydberg Array with Spatiotemporal Multiplexing for High-Sensitivity Wireless Communications
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