Analytical Modeling of the Path-Loss for Reconfigurable Intelligent Surfaces -- Anomalous Mirror or Scatterer ?

Renzo, Marco Di; Danufane, Fadil Habibi; Xi, Xiaojun; Rosny, Julien de; Tretyakov, Sergei

doi:10.48550/arxiv.2001.10862

Cited by 14 publications

(30 citation statements)

References 6 publications

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“…The physics-based model derived in this paper generalizes the models in [5]- [7] which provide interesting insights, but were obtained under more restrictive assumptions. For instance, in [5], the scatter field was characterized for a specific polarization and the angles of the impinging and reflected waves were in the same plane, see Remark 1.…”

Section: Introductionmentioning

confidence: 94%

“…As the physics-based models in [5]- [7] suggest, the path-loss of the end-to-end IRS-assisted links is significant for far-field scenarios and indeed a very large IRS is needed to overcome it in practice. To see this, let ρ d , ρ t , and ρ r denote the transmitterto-receiver, transmitter-to-IRS, and IRS-to-receiver distances, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…In [6], the authors studied the power scaling laws for asymptotically large IRSs; however, similar to [5], general incident and reflection directions were not considered. Furthermore, in [7], the authors modeled an IRS in a two-dimensional system using the scalar theory of diffraction and the Huygens-Fresnel principle. In contrast, we consider a three-dimensional system and characterize the reflected vector field for all observation angles when a plane wave with arbitrary incident angle and arbitrary polarization impinges on the IRS.…”

Section: Introductionmentioning

confidence: 99%

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Physics-Based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces

Najafi

Jamali

Schober

et al. 2021

IEEE Trans. Commun.

323

225

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In this paper, we develop a physics-based model that allows a scalable optimization of large intelligent reflecting surfaces (IRSs). The basic idea is to partition the IRS unit cells into several subsets, referred to as tiles, and model the impact of each tile on the wireless channel. Borrowing concepts from the radar literature, we model each tile as an anomalous reflector, and derive its impact on the wireless channel for given unit cell phase shifts by solving the corresponding integral equations for the electric and magnetic vector fields. Based on this model, one can design the phase shifts of the unit cells of a tile offline for the support of several transmission modes and then select the best mode online for a given channel realization. Therefore, the number of tiles and transmission modes in the proposed model are design parameters that can be adjusted to trade performance for complexity.

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Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physics-Based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces

Najafi

Jamali

Schober

et al. 2021

IEEE Trans. Commun.

323

225

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“…IRSs are composed of a large number of meta-atoms with isotropic electromagnetic properties, which behave as elementary spherical scatterers, when hit by the incident radiation from the BS. We assume that the intensity of the scattered electromagnetic field decays with the inverse of the distance, i.e., our model is intended to hold in the far-field regime [28], [22]. Moreover, we assume that the IRS are uniformly illuminated by the BS.…”

Section: B Irsmentioning

confidence: 99%

Meta-Surface Optimization in 6G Sub-THz Communications

Tarable

Malandrino

Dossi

et al. 2020

2020 IEEE International Conference on Communications Workshops (ICC Workshops)

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We consider a smart radio environment where meta-surfaces are employed to improve the performance of wireless networks working at sub-THz frequencies. To this end, we propose a comprehensive mathematical channel model, taking into account both the ability of the meta-surfaces to redirect the impinging signal towards a desired direction, and the signal reflection due to large objects. We show how the design of both the meta-surface and the transmitter precoder influences the network throughput. Furthermore, we compare several algorithms to optimize the effect of the meta-surfaces in a realistic scenario. As a result, a simpler algorithm that associates network users and meta-surfaces provides a performance comparable to more complex numerical optimization methods. Simulation results suggest how many users are supported in the designed system.

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“…By adaptively adjusting the attenuation and/or phase shift of massive passive reflecting elements, the IRS is able to "program" the wireless propagation channel with low-cost hardware, which shows great potential for improving spectrum efficiency and energy efficiency, especially for millimeter-wave (mmWave) communication system due to its vulnerability to high path-loss and link blockage [1], [2]. Massive research works on the IRS have been conducted recently, including channel modeling [3], [4], beamforming design [5], [6],…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems

Sun¹,

Wang²,

Chen³

et al. 2021

Preprint

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Intelligent reflecting surface (IRS) is a promising technology for enhancing wireless communication systems, which adaptively configures massive passive reflecting elements to control wireless channel in a desirable way. Due to hardware characteristics and deploying environments, the IRS may be subject to reflecting element blockages and failures, and hence developing diagnostic techniques is of great significance to system monitoring and maintenance. In this paper, we develop diagnostic techniques for IRS systems to locate faulty reflecting elements and retrieve failure parameters. Three cases of the channel state information (CSI) availability are considered. In the first case where full CSI is available, a compressed sensing based diagnostic technique is proposed, which significantly reduces the required number of measurements. In the second case where only partial CSI is available, we jointly exploit the sparsity of the millimeter-wave channel and the failure, and adopt compressed sparse and low-rank matrix recovery algorithm to decouple channel and failure. In the third case where no CSI is available, a novel atomic norm is introduced as the sparsity-inducing norm of the cascaded channel, and the diagnosis problem is formulated as a joint sparse recovery problem. Finally, proposed diagnostic techniques are validated through numerical simulations.

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Analytical Modeling of the Path-Loss for Reconfigurable Intelligent Surfaces -- Anomalous Mirror or Scatterer ?

Cited by 14 publications

References 6 publications

Physics-Based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces

Physics-Based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces

Meta-Surface Optimization in 6G Sub-THz Communications

Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems

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