Time-domain Characterization of Reconfigurable Intelligent Surfaces for Wireless Communications

Pettanice, Giuseppe; Loreto, Fabrizio; Marco, Piergiuseppe Di; Romano, Daniele; Santucci, F.; Alesii, Roberto; Antonini, Giulio

doi:10.1109/emceurope51680.2022.9901291

Cited by 3 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the convolution-based solver is found to be always stable, differently from traditional time-step methods, e.g., backward differentiation formulas Ruehli et al (2017). Pettanice et al (2022) assumes linear terminations, however, the time-domain solver could be used to provide the port voltages and currents also for arbitrary nonlinear terminations. Time-varying scenarios can also be considered by resorting to advanced interpolation techniques which allows taking the time-varying relative positions of transmitters, metasurface elements, and receivers into account.…”

Section: Figurementioning

confidence: 99%

See 1 more Smart Citation

Boosting NOMA systems through smart metasurfaces

Marco

Valentini²,

Santucci³

et al. 2022

Front. Comms. Net.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Figurementioning

confidence: 99%

“…In Pettanice et al (2022), the PEEC method has been used to compute the impulse response of this multiport system in terms of s-parameters. Then, a convolution-based solver is adopted to study the system with arbitrary sources and terminations.…”

Section: Figurementioning

confidence: 99%

Boosting NOMA systems through smart metasurfaces

Marco

Valentini²,

Santucci³

et al. 2022

Front. Comms. Net.

Self Cite

View full text Add to dashboard Cite

show abstract

“…By leveraging on the approach presented in [23], in this article, we provide the following contributions.…”

Section: A Article Contributions and Organizationmentioning

confidence: 99%

“…1) We propose a comprehensive TD model that extends the methodology presented in [23] by considering a more general description of the transmitters-RIS-receivers structure based on a state-space formulation. This allows for a more systematic computation of the TD impulse response of the RIS through the PEEC method; since transmitting and receiving antennas are modeled along with the RIS, propagation delays are rigorously considered.…”

Section: A Article Contributions and Organizationmentioning

confidence: 99%

See 1 more Smart Citation

Mutual Coupling Aware Time-Domain Characterization and Performance Analysis of Reconfigurable Intelligent Surfaces

Pettanice,

Valentini,

Marco

et al. 2023

IEEE Trans. Electromagn. Compat.

Self Cite

View full text Add to dashboard Cite

Reconfigurable intelligent surfaces (RISs) are planar, almost 2-D, structures that can intelligently manipulate electromagnetic waves by low-cost near passive reflecting elements. RISs are considered a potential enabling technology for the sixthgeneration (6G) wireless communication systems due to their capability to tune wireless signals, thus smartly controlling propagation environments. This work has a twofold objective: firstly, we present a systematic methodology for characterizing RISs in the time domain, which rigorously includes propagation delays and mutual coupling among RIS elements; secondly, we analyze the RISs through a convolution-based solver that is enriched by a specialized convolution scheme that enables the analysis of systems with complex linear, nonlinear as well terminations. The proposed approach is validated by extensive numerical evaluations against well-established methods based on both frequency-and time-domain analyses, with a varying number of RIS elements, interdistance, and frequency of operation. Index Terms-Partial elements equivalent circuit method, reconfigurable intelligent surfaces (RISs), time-domain (TD) analysis.

show abstract