Performance Analysis of Cascaded Reconfigurable Intelligent Surface Networks

Tyrovolas, Dimitrios; Tegos, Sotiris A.; Dimitriadou-Panidou, Emmanouela C.; Diamantoulakis, Panagiotis D.; Liaskos, Christos; Karagiannidis, George K.

doi:10.1109/lwc.2022.3184635

Cited by 34 publications

(16 citation statements)

References 16 publications

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“…One such technology is represented by reconfigurable intelligent surfaces (RISs) [4], [5], which can offer artificial LoS paths in NLoS scenarios. The performance improvement obtained in vehicular communication scenarios thanks to RISs was demonstrated by NTT DOCOMO in Japan back in 2018 [6].…”

Section: Introductionmentioning

confidence: 99%

Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces

Segata

Lestas

Casari

et al. 2023

2023 18th Wireless on-Demand Network Systems and Services Conference (WONS)

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Future cooperative autonomous vehicles will be able to organize into flexible platoons to improve both the efficiency and the safety of driving. However, platooning requires dependable coordination through the periodic wireless exchange of control messages. Therefore, challenging propagation scenarios as found, e.g., in dense urban areas, may hinder coordination and lead to undesirable vehicle behavior. While reconfigurable intelligent surfaces (RISs) have been advocated as a solution to improper coverage issues, no system-level simulation exists that accounts for realistic road mobility and communication aspects. To this end, we present one such simulator built on top of the OMNeT++-based PLEXE and Veins frameworks. Specifically, our contribution is a simulator that takes into account vehicle mobility, physical layer propagation, RIS coding, and networking protocols. To test our simulator, we implement an RIS-assisted autonomous platoon merging maneuver taking place at an intersection where the absence of any RIS would limit successful communications to an area dangerously close to the intersection itself. Our results validate the simulator as a feasible tool for system-level RIS-assisted cooperative autonomous vehicle maneuvering, and ultimately show the benefit of RIS as roadside infrastructure for wireless coverage extension.

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Section: Introductionmentioning

confidence: 99%

Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces

Segata

Lestas

Casari

et al. 2023

2023 18th Wireless on-Demand Network Systems and Services Conference (WONS)

Self Cite

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“…A distributed or a cascaded architecture can be utilized to cover the space with either transceivers or SDMs to guarantee the tracking of each path. Possible overlaps between coverage areas of the APs can be resolved based on the angle of arrival measurements when multiple antenna elements are available [95]. To control the transmission and to reach beyond possible blockages a number of SDMs has to be deployed in the physical space.…”

Section: Wireless Channel Engineering Optimization For Xr-rf Imagingmentioning

confidence: 99%

XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges

et al. 2022

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We present a new approach to Extended Reality (XR), denoted as iCOPYWAVES, which seeks to offer naturally low-latency operation and cost effectiveness, overcoming the critical scalability issues faced by existing solutions. iCOPYWAVES is enabled by emerging PWEs, a recently proposed technology in wireless communications. Empowered by intelligent (meta)surfaces, PWEs transform the wave propagation phenomenon into a software-defined process. We leverage PWEs to: i) create, and then ii) selectively copy the scattered RF wavefront of an object from one location in space to another, where a machine learning module, accelerated by FPGAs, translates it to visual input for an XR headset using PWE-driven, RF imaging principles (XR-RF). This makes for an XR system whose operation is bounded in the physical-layer and, hence, has the prospects for minimal end-to-end latency. Over large distances, RF-to-fiber/fiber-to-RF is employed to provide intermediate connectivity. The paper provides a tutorial on the iCOPYWAVES system architecture and workflow. A proof-of-concept implementation via simulations is provided, demonstrating the reconstruction of challenging objects in iCOPYWAVES-produced computer graphics.

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“…The performance analysis was obtained for various system and channel models using several performance metrics such as signal-to-noise ratio (SNR), bit error rate (BER), symbol error rate (SER), outage probability and capacity. Based on the received signal arrival, the system model can be generally classified into two main categories, RIS without direct link [6], [11], [21]- [34] , which is more common, and with direct link [35]- [39]. Table I shows the classification of selected recent articles based on their consideration of the direct link, system model, channel model, and performance metric.…”

Section: A Related Workmentioning

confidence: 99%

“…1) RIS without Direct Link: In [6], [11], [21]- [25], [28]- [34], the authors provide closed-form exact and approximations for several performance metrics through modeling the end-to-end RIS channel amplitude as Rayleigh [6], [30], Gamma [11], [26], [27], and Nakagami-m [28] distributions. Moreover, the channel [24], [25], [29] is based on Central Limit Theorem (CLT) which is not accurate for a small number of reflecting elements.…”

Section: A Related Workmentioning

confidence: 99%

On the Performance of RIS-Assisted Communications With Direct Link Over κ-μ Shadowed Fading

Al-Rimawi

Al-Dweik

2022

IEEE Open J. Commun. Soc.

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In reconfigurable intelligent surface (RIS)-assisted communications, the signal-to-noise ratio (SNR) is improved by optimizing the reflecting elements' phases to make the reflected signals add coherently at the receiver. Nevertheless, the RIS cannot control the phase of the direct link if it exists. Although the RIS phase can still be controlled such that the direct and reflected signals add coherently, the SNR gain might be hindered. Therefore, this paper considers the performance analysis of such scenarios where a novel analytical framework is developed to evaluate the SNR, outage probability, and bit error rate (BER). To capture a broad range of fading conditions, the channels are modeled as independent but not identically distributed generalized κ-µ shadowed fading channels. The Laplace transform is used to derive an accurate approximation of the probability density function (PDF) and cumulative distribution function (CDF) of the instantaneous fading, which are used to derive the PDF and CDF of the instantaneous SNR. The paper also considers deriving the asymptotic PDF, CDF, moment generating function (MGF) of the SNR, as well as the outage probability and BER. The obtained results show that a strong direct link may limit the gain obtained using the RIS.

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Performance Analysis of Cascaded Reconfigurable Intelligent Surface Networks

Cited by 34 publications

References 16 publications

Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces

Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces

XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges

On the Performance of RIS-Assisted Communications With Direct Link Over κ-μ Shadowed Fading

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