Technology Category
Planning, Routing, and Scheduling: Optimization of Spatio-temporal SystemsSearch and Optimization: Mixed Discrete/Continuous SearchIntelligent Robots: Multi-Robot Systems
Far- versus Near-Field RIS Modeling and Beam Design
🤖 AI Summary
This study addresses the modeling mismatch of reconfigurable intelligent surfaces (RIS) between far-field and near-field regimes by establishing a unified channel model that systematically incorporates line-of-sight/non-line-of-sight propagation, scattering environment richness, channel correlation, and array manifold effects. It is the first to reveal the fundamental impact of near-field spherical wavefronts on reflected beam design. A hybrid beamforming framework—balancing accuracy and computational complexity—is proposed, comprising both optimization-driven and closed-form analytical design methods. Leveraging electromagnetic modeling, convex optimization, and parametric sensitivity analysis, the work quantifies, via simulation, the boundary effects of antenna spacing, operating distance, and carrier frequency on RIS gain, focusing accuracy, and user coverage. The results provide both theoretical foundations and practical design guidelines for near-field RIS systems.
Technology Category
Application Category
📝 Abstract
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.
Problem
Research questions and friction points this paper is trying to address.
Modeling RIS wireless channels in far- and near-field regimes
Designing RIS reflective beams using optimization and analytical methods
Evaluating performance and parameter impacts through comprehensive simulations
Innovation
Methods, ideas, or system contributions that make the work stand out.
RIS channel models for far- and near-field regimes
Optimization-based and analytical beam design approaches
Performance evaluation through comprehensive simulation results
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