Reconfigurable Intelligent Surfaces for the Connectivity of Autonomous Vehicles

Ozcan, Yigit; Ozdemir, Özgür; Kurt, Güneş Karabulut

doi:10.1109/tvt.2021.3060667

Cited by 66 publications

(48 citation statements)

References 9 publications

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“…Recent works [9], [10] study RIS-assisted V2X communication in highways. Particularly, [9] concentrates on beamforming optimization in the presence of random blockages, assuming perfect CSIT.…”

Section: Internet-of-vehicles Using Rismentioning

confidence: 99%

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Dynamic Blockage Pre-Avoidance using Reconfigurable Intelligent Surfaces

Guo¹,

Makki²,

Åström³

et al. 2022

Preprint

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Internet-of-vehicle (IoV) is a general concept referring to, e.g., autonomous drive based vehicle-to-everything (V2X) communications or moving relays. Here, high rate and reliability demands call for advanced multi-antenna techniques and millimeter-wave (mmw) based communications. However, the sensitivity of the mmw signals to blockage may limit the system performance, especially in highways/rural areas with limited building reflectors/base station deployments and highspeed devices. To avoid the blockage, various techniques have been proposed among which reconfigurable intelligent surface (RIS) is a candidate. RIS, however, has been mainly of interest in stationary/low mobility scenarios, due to the associated channel state information acquisition and beam management overhead as well as imperfect reflection. In this article, we study the potentials and challenges of RIS-assisted dynamic blockage avoidance in IoV networks. Particularly, by designing region-based RIS pre-selection as well as blockage prediction schemes, we show that RIS-assisted communication has the potential to boost the performance of IoV networks. However, there are still issues to be solved before RIS can be practically deployed in IoV networks.

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Section: Internet-of-vehicles Using Rismentioning

confidence: 99%

“…Particularly, [9] concentrates on beamforming optimization in the presence of random blockages, assuming perfect CSIT. Then, [10] investigates the optimal deployment of the RIS in highway taking both the size and the operating mode of the RISs into account without explicit study on CSIT acquisition.…”

Section: Internet-of-vehicles Using Rismentioning

confidence: 99%

Dynamic Blockage Pre-Avoidance using Reconfigurable Intelligent Surfaces

Guo¹,

Makki²,

Åström³

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…denote, respectively, the perpendicular and parallel components of the incident wavevector k xz (25). The goal is to mimic a perfectly flat surface enabling a strong specular reflection, namely back reflecting k x while preserving k z at each point on the C-IRS, i.e.,…”

Section: B Pre-configured C-irs Designmentioning

confidence: 99%

“…The problem of RIS deployment optimization to support V2I/V2N communication is investigated in [25], showing a remarkable gain in received power when multiple RIS are strategically deployed.…”

mentioning

confidence: 99%

Conformal Metasurfaces: a Novel Solution for Vehicular Communications

Mizmizi¹,

Ayoubi²,

Tagliaferri³

et al. 2022

Preprint

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In future 6G millimeter wave (mmWave)/sub-THz vehicle-to-everything (V2X) communication systems, vehicles are expected to be equipped with massive antenna arrays to realize beam-based links capable of compensating for the severe path loss. However, vehicle-to-vehicle (V2V) direct links are prone to be blocked by surrounding vehicles. Emerging metasurface technologies enable the control of the electromagnetic wave reflection towards the desired direction, enriching the channel scattering to boost communication performance. Reconfigurable intelligent surfaces (RIS), and mostly the pre-configured counterpart intelligent reflecting surfaces (IRS), are a promising low-cost relaying system for 6G. This paper proposes using conformal metasurfaces (either C-RIS or C-IRS) deployed on vehicles' body to mitigate the blockage impact in a highway multi-lane scenario. In particular, conformal metasurfaces create artificial reflections to mitigate blockage by compensating for the non-flat shape of vehicle's body, such as the lateral doors, with proper phase patterns. We analytically derive the phase pattern to apply to a cylindrical C-RIS/C-IRS approximating the shape of car body, as a function of both incidence and reflection angles, considering cylindrical RIS/IRS as a generalization of conventional planar ones. We propose a novel design for optimally pre-configured C-IRS to mimic the behavior of an EM flat surface on car doors, proving the benefits of C-RIS and C-IRS in a multi-lane V2V highway scenario. The results show a consistent reduction of blockage probability when exploiting C-RIS/C-IRS, 20% for pre-configured C-IRS and 70% for C-RIS and, as well as a remarkable improvement in terms of average signal-to-noise ratio, respectively 10 − 20 dB for C-IRS and 30 − 40 dB for C-RIS. I. INTRODUCTION Road mobility is experiencing an unprecedented technological transformation towards safer and efficient vehicular networks. Vehicle-to-everything (V2X) communication and autonomous guidance technologies are the main engines driving innovation and the development of novel

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“…In [10], optimum placement of IRSs is studied to eliminate the coverage holes in an urban area, which shows that properly deployed IRSs can fulfill the predefined coverage goals even with imperfect context information. In [11],…”

Section: Introductionmentioning

confidence: 99%

Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors

Ozturk,

Anjinappa,

Erden

et al. 2021

Preprint

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Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones. However, spatial multiplexing with drones suffers from rank deficient channels due to the unobstructed line-of-sight (LoS), especially in millimeterwave (mmWave) frequencies that use narrow beams. One possible solution is utilizing low-cost and lowcomplexity metamaterial-based intelligent reflecting surfaces (IRS) to enrich the multipath environment, taking into account that the drones are restricted to fly only within well-defined drone corridors. A hurdle with this solution is placing the IRSs optimally. In this study, we propose an approach for IRS placement with a goal to improve the spatial multiplexing gains, and hence to maximize the average channel capacity in a predefined drone corridor. Our results at 6 GHz, 28 GHz and 60 GHz show that the proposed approach increases the average rates for all frequency bands for a given drone corridor, when compared with the environment where there are no IRSs present, and IRS-aided channels perform close to each other at sub-6 and mmWave bands.

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Reconfigurable Intelligent Surfaces for the Connectivity of Autonomous Vehicles

Cited by 66 publications

References 9 publications

Dynamic Blockage Pre-Avoidance using Reconfigurable Intelligent Surfaces

Dynamic Blockage Pre-Avoidance using Reconfigurable Intelligent Surfaces

Conformal Metasurfaces: a Novel Solution for Vehicular Communications

Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors

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