MARISA: A Self-configuring Metasurfaces Absorption and Reflection Solution Towards 6G

Albanese, Anthony A.; Devoti, Francesco; Sciancalepore, Vincenzo; Renzo, Marco Di; Costa‐Pérez, Xavier

doi:10.1109/infocom48880.2022.9796976

Cited by 29 publications

(9 citation statements)

References 49 publications

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“…For starters, we publicly release the dataset 1 we have generated during our empirical characterization in §5, which aggregates a total number of 6.8 • 10 6 power samples. This data can help other researchers study RIS-related problems without the need of building a prototype.…”

Section: Reproducibilitymentioning

confidence: 99%

Designing, building, and characterizing RF switch-based reconfigurable intelligent surfaces

Rossanese

Mursia

García‐Saavedra

et al. 2022

Proceedings of the 28th Annual International Conference on Mobile Computing and Networking

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In this paper, we present our experience designing, prototyping, and empirically characterizing RF Switch-based Reconfigurable Intelligent Surfaces (RIS). Our RIS design comprises arrays of patch antennas, delay lines and programmable radio-frequency (RF) switches that enable almost-passive 3D beamforming, i.e., without active RF components. We implement this design using PCB technology and low-cost electronic components, and thoroughly validate our prototype in a controlled environment with high spatial resolution codebooks. Finally, we make available a large dataset with a complete characterization of our RIS and present the costs associated with reproducing our design.

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Section: Reproducibilitymentioning

confidence: 99%

Designing, building, and characterizing RF switch-based reconfigurable intelligent surfaces

Rossanese

Mursia

García‐Saavedra

et al. 2022

Proceedings of the 28th Annual International Conference on Mobile Computing and Networking

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“…This operation is referred to as analog beamforming, and it is usually realized through a wireless control channel that the BS utilizes to configure the amplitude and phase responses of the IOS elements. Reconfigurable surfaces that do not need any control channels have recently been proposed as well, but they are out of the scope of this paper [38]. In full-dimensional communications, therefore, the digital beamformer at the BS and the analog beamformer at the IOS can be jointly optimized for achieving the optimal performance.…”

Section: A General Framework For Hybrid Beamformingmentioning

confidence: 99%

Intelligent Omni-Surfaces: Reflection-Refraction Circuit Model, Full-Dimensional Beamforming, and System Implementation

Zeng¹,

Zhang²,

Di³

et al. 2022

Preprint

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The intelligent omni-surface (IOS) is a dynamic metasurface that has recently been proposed to achieve full-dimensional communications by realizing the dual function of anomalous reflection and anomalous refraction. Existing research works provide only simplified models for the reflection and refraction responses of the IOS, which do not explicitly depend on the physical structure of the IOS and the angle of incidence of the electromagnetic (EM) wave. Therefore, the available reflection-refraction models are insufficient to characterize the performance of full-dimensional communications. In this paper, we propose a complete and detailed circuit-based reflection-refraction model for the IOS, which is formulated in terms of the physical structure and equivalent circuits of the IOS elements, as well as we validate it against full-wave EM simulations. Based on the proposed circuit-based model for the IOS, we analyze the asymmetry between the reflection and transmission coefficients. Moreover, the proposed circuit-based model is utilized for optimizing the hybrid beamforming of IOS-assisted networks and hence improving the system performance. To verify the circuit-based model, the theoretical findings, and to evaluate the performance of full-dimensional beamforming, we implement a prototype of IOS and deploy an IOS-assisted wireless communication testbed to experimentally measure the beam patterns and to quantify the achievable rate. The obtained experimental results validate the theoretical findings and the accuracy of the proposed circuit-based reflection-refraction model for IOSs.

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“…Additionally, due to the absence of signal processing units on such nearly-passive metasurfaces, channel estimation and acquisition are usually performed over the entire path from transmitter to the receiver, which may prevent an agile deployment of the system. In Albanese et al (2022), the authors presented a self-configuring metasurfaces absorption and reflection solution, based only on CSI that can be locally estimated at the metasurface, which has power-sensing capabilities and does not require an active control channel.…”

Section: Configuration Of the Metasurfacesmentioning

confidence: 99%

Boosting NOMA systems through smart metasurfaces

Marco

Valentini²,

Santucci³

et al. 2022

Front. Comms. Net.

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Smart metasurfaces have recently emerged as a promising paradigm for next-generation wireless communication systems, providing a reconfigurable radio propagation environment for a wide range of services and applications. In this paper, we discuss how to include and exploit smart metasurfaces into a 6G environment employing non-orthogonal multiple access (NOMA) communications. We identify the key challenges in the characterization of NOMA systems assisted by metasurfaces, which encompass the mutual coupling between electromagnetic fields in the scattering surfaces and its impact on the signal-to-interference-plus-noise ratio at the receiver. Furthermore, we describe opportunities and limitations for fully integrated systems: in this frame we envisage and outline a “deep” cross-layer approach, that encompasses full-wave electromagnetic analysis, circuit analysis, signal processing, and communication, then providing a model with affordable computational complexity for solving challenging configuration tasks in 6G wireless scenarios.

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MARISA: A Self-configuring Metasurfaces Absorption and Reflection Solution Towards 6G

Cited by 29 publications

References 49 publications

Designing, building, and characterizing RF switch-based reconfigurable intelligent surfaces

Designing, building, and characterizing RF switch-based reconfigurable intelligent surfaces

Intelligent Omni-Surfaces: Reflection-Refraction Circuit Model, Full-Dimensional Beamforming, and System Implementation

Boosting NOMA systems through smart metasurfaces

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