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Far- versus Near-Field RIS Modeling and Beam Design

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arxiv 2401.08237 v3 pith:VPGEWHU5 submitted 2024-01-16 eess.SP cs.ITmath.IT

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keywords designbeamfar-near-fieldchannelmodelingregimesanalytical
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In this chapter, we investigate the mathematical foundation of the modeling and design of reconfigurable intelligent surfaces (RIS) in both the far- and near-field regimes. More specifically, we first present RIS-assisted wireless channel models for the far- and near-field regimes, discussing relevant phenomena, such as line-of-sight (LOS) and non-LOS links, rich and poor scattering, channel correlation, and array manifold. Subsequently, we introduce two general approaches for the RIS reflective beam design, namely optimization-based and analytical, which offer different degrees of design flexibility and computational complexity. Furthermore, we provide a comprehensive set of simulation results for the performance evaluation of the studied RIS beam designs and the investigation of the impact of the system parameters.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Near-field Liquid Crystal RIS Phase-Shift Design for Secure Wideband Illumination

    eess.SP 2025-08 reject novelty 5.0 of 10

    A frequency-aware LC-RIS phase-shift design raises simulated worst-case secrecy rate to about 2 bits/symbol over 8 GHz at 60 GHz versus benchmarks that ignore the LC frequency response.

  2. Robust Communication Design in RIS-Assisted THz Channels

    cs.IT 2024-11 conditional novelty 5.0 of 10

    A mixed-criticality superposition coding scheme for RIS-assisted THz links that decodes high-priority data whenever either the direct or the reflected path is available, reducing critical-data queueing delay versus ti...

  3. Liquid Crystal-Based RIS Loss-Trade-Off Analysis

    eess.SP 2025-08 conditional novelty 4.0 of 10

    For liquid crystal reconfigurable surfaces, the optimal phase-shifter length, which trades insertion loss against phase-shift range, depends on the user's position: specular users want a short shifter, off-axis users ...

  4. THz-Band Near-Field RIS Channel Modeling for Linear Channel Estimation

    eess.SP 2025-05 conditional novelty 4.0 of 10

    Includes near-field correlation and mutual coupling in mixture-Gamma RIS channel models and shows they materially improve THz channel-estimation NMSE.

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