Reconfigurable Intelligent Surface-Assisted Localization: Technologies, Challenges, and the Road Ahead

Ma, Teng; Xiao, Yao; Lei, Xia; Zhang, Lechen; Niu, Yun; Karagiannidis, George K.

doi:10.1109/ojcoms.2023.3292052

Cited by 16 publications

(1 citation statement)

References 125 publications

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“…With beamfocusing, the incident power can be concentrated at controllable distances from the RIS, towards any desired direction. Therefore, beamfocusing is ideal for dramatically increasing the received power in small areas, a key element for energy efficient communications [17], [24]- [27] and localization applications [28]- [31].…”

Section: Introductionmentioning

confidence: 99%

Near-Field Engineering in RIS-Aided Links: Beamfocusing Analytical Performance Assessment

Droulias,

Stratidakis,

Alexiou

2024

IEEE Access

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Reconfigurable intelligent surfaces (RISs) are typically utilized in the far-field as an effective means of creating virtual line-of-sight (LOS) links to mediate non-LOS propagation in wireless communications via beamforming. Owing to their large surface and the multitude of scatterers, the use of RISs can be extended in the near-field, to transform the incident beam into a focused beam that is able to address the challenges of high frequencies more efficiently than conventional beamforming. In this paper we explain from a physics' standpoint how the RIS can engineer wavefronts to transform the incident beam into a focused beam targeted at the user, and we employ the angular spectrum representation approach to describe analytically the dynamics of beamfocusing. We derive analytical expressions that provide the necessary insight into the dependencies and trade-offs between crucial parameters, such as the incident beam's footprint on the RIS, the intended focal distance of the reflected beam, and the link topology. To assess the beamfocusing efficiency we provide metrics that are crucial for future applications, including energy efficient communications, wireless power transfer, tracking and localization.

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Section: Introductionmentioning

confidence: 99%

Near-Field Engineering in RIS-Aided Links: Beamfocusing Analytical Performance Assessment

Droulias,

Stratidakis,

Alexiou

2024

IEEE Access

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A survey of intelligent reflecting surfaces: Performance analysis, extensions, potential challenges, and open research issues

Khan,

Mohsan,

Elfikky

et al. 2025

Vehicular Communications

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Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces

Shah,

Shawky,

Kazim

et al. 2024

Commun Eng

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Reconfigurable Intelligent Surfaces have recently emerged as a revolutionary next-generation wireless networks paradigm that harnesses engineered electromagnetic environments to reshape radio wave propagation. Pioneering research presented in this article establishes the viability of Reconfigurable Intelligent Surfaces-enhanced indoor localisation and charts a roadmap for its integration into next-generation wireless network architectures. Here, we present a comprehensive experimental analysis of a Reconfigurable Intelligent Surfaces-enabled indoor localisation scheme that evaluates the localisation accuracy of different machine learning algorithms under varying Reconfigurable Intelligent Surfaces states, antenna types, and communication setups. The results indicate that incorporating Reconfigurable Intelligent Surfaces can significantly enhance indoor localisation accuracy, achieving an impressive 82.4% success rate. Moreover, this study delves into system performance across varied communication modes and subcarrier configurations. This research is poised to lay the groundwork for implementing Reconfigurable Intelligent Surfaces-empowered joint sensing and communications in future next-generation wireless networks.

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Reconfigurable Intelligent Surface-Assisted Localization: Technologies, Challenges, and the Road Ahead

Cited by 16 publications

References 125 publications

Near-Field Engineering in RIS-Aided Links: Beamfocusing Analytical Performance Assessment

Near-Field Engineering in RIS-Aided Links: Beamfocusing Analytical Performance Assessment

A survey of intelligent reflecting surfaces: Performance analysis, extensions, potential challenges, and open research issues

Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces

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