PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading

Faqiri, Rashid; Saigre-Tardif, Chloé; Alexandropoulos, George C.; Shlezinger, Nir; Imani, Mohammadreza F.; Hougne, Philipp del

doi:10.48550/arxiv.2202.02673

Cited by 10 publications

(25 citation statements)

References 61 publications

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“…b) For each test instance, the average of RSSI over 500 random RIS configurations (blue) is contrasted with the RSSI of the RIS configuration optimized for the test instance using Algorithm 1 (red). While the identification of the optimized RIS configuration is solely based on CE-ANN, the final displyed RSSI results are evaluated in PhysFad [21] to avoid reliance on CE-ANN being a high-quality representation of the underlying model.…”

Section: Resultsmentioning

confidence: 99%

“…2a, the perturbers are four irregularly shaped objects rotating in an uncontrolled manner around their centers. We model the wireless channels with PhysFad [21], a physicsbased end-to-end communication model for RIS parametrized wireless environments with adjustable fading. PhysFad is based on a coupled-dipole formalism constructed from first principles and thereby inherently obeys all essential physical principles, including…”

Section: Problem Statementmentioning

confidence: 99%

“…• a notion of space and causality, • dispersion (frequency selectivity) and the intertwinement of a RIS element's phase and amplitude response, • any arising mutual coupling effects, including long-range mesoscopic correlations, and • the non-linear parametrization of wireless channels through RIS and perturbing objects. PhysFad is formulated, without loss of generality, in arbitrary units such that the central operating frequency as well as the medium's permittivity and permeability are all defined to be unity [21]. The utilized PhysFad parameters are summarized in Table I.…”

Section: Problem Statementmentioning

confidence: 99%

“…In the remainder of this paper, we detail our preliminary implementation of the above approach to realizing a selfadaptive RIS for channel sounding and shaping beyond the simple free-space case. To work with the substantially more challenging case of fading rich-scattering channels, we use an end-to-end model for RIS-parametrized fading channels that fully complies with wave physics [21].…”

Section: Introductionmentioning

confidence: 99%

“…Fig.2. a) Considered setup in PhysFad[21]: An electrically large, irregularly shaped, rich-scattering enclosure inside which four irregular objects rotate (for simplicity in sync) in an uncontrolled manner. In addition, a distributed conformal RIS partially covers the enclosure's walls.…”

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A self-adaptive RIS that estimates and shapes fading rich-scattering wireless channels

Saigre-Tardif¹,

Hougne²

2022

Preprint

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We present a framework for operating a selfadaptive RIS inside a fading rich-scattering wireless environment. We model the rich-scattering wireless channel as being doubleparametrized by (i) the RIS, and (ii) dynamic perturbers (moving objects, etc.). Within each coherence time, first, the self-adaptive RIS estimates the status of the dynamic perturbers (e.g., the perturbers' orientations and locations) based on measurements with an auxiliary wireless channel. Then, second, using a learned surrogate forward model of the mapping from RIS configuration and perturber status to wireless channel, an optimized RIS configuration to achieve a desired functionality is obtained. We demonstrate our technique using a physics-based end-toend model of RIS-parametrized communication with adjustable fading (PhysFad) for the example objective of maximizing the received signal strength indicator. Our results present a route toward convergence of RIS-empowered localization and sensing with RIS-empowered channel shaping beyond the simple case of operation in free space without fading.

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Section: Resultsmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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A self-adaptive RIS that estimates and shapes fading rich-scattering wireless channels

Saigre-Tardif¹,

Hougne²

2022

Preprint

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Metasurface‐Programmable Wireless Network‐On‐Chip

2022

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This paper introduces the concept of smart radio environments, currently intensely studied for wireless communication in metasurface‐programmable meter‐scaled environments (e.g., inside rooms), on the chip scale. Wireless networks‐on‐chips (WNoCs) are a candidate technology to improve inter‐core communication on chips but current proposals are plagued by a dilemma: either the received signal is weak, or it is significantly reverberated such that the on–off‐keying modulation speed must be throttled. Here, this vexing problem is overcome by endowing the wireless on‐chip environment with in situ programmability which enables the shaping of the channel impulse response (CIR); thereby, a pulse‐like CIR shape can be imposed despite strong multipath propagation and without entailing a reduced received signal strength. First, a programmable metasurface suitable for integration in the on‐chip environment (“on‐chip reconfigurable intelligent surface”) is designed and characterized. Second, its configuration is optimized to equalize selected wireless on‐chip channels “over the air.” Third, by conducting a rigorous communication analysis, the feasibility of significantly higher modulation speeds with shaped CIRs is evidenced. The results introduce a programmability paradigm to WNoCs which boosts their competitiveness as complementary on‐chip interconnect solution.

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On Performance of STAR-RIS-Enabled Multiple Two-Way Full-Duplex D2D Communication Systems

Hoa

Nguyen

2022

IEEE Access

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This paper investigates performance of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-enabled multiple two-way full-duplex device-to-device (D2D) communication systems over Rayleigh fading channels under optimal and uncertain phase shift alignments. We derive closed-form expressions for outage probability (OP), sum throughput, ergodic capacity (EC) and energy efficiency. To gain insights, we quantify and reveal some useful guidelines for the performance behavior of the OP and the EC, such as diversity order and ergodic slope from high transmit power configuration. In addition, some critical points also deduced for the sum throughput and the system energy efficiency. Moreover, the impacts of the transmit power configurations, RIS deployments, allocating target data rate transmission, and the number of user deployments on the system performance are examined. Finally, we present some extensive simulations using Monte-Carlo method to corroborate the accuracy of the theoretical analysis.INDEX TERMS Simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), device-to-device (D2D) communication, full-duplex, two-way communication.

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PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading

Cited by 10 publications

References 61 publications

A self-adaptive RIS that estimates and shapes fading rich-scattering wireless channels

A self-adaptive RIS that estimates and shapes fading rich-scattering wireless channels

Metasurface‐Programmable Wireless Network‐On‐Chip

On Performance of STAR-RIS-Enabled Multiple Two-Way Full-Duplex D2D Communication Systems

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