RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials

Pei, Xilong; Yin, Haifan; Tan, Li; Cao, Lin; Li, Zhanpeng; Wang, Kai; Zhang, Kun; Björnson, Emil

doi:10.1109/tcomm.2021.3116151

Cited by 240 publications

(145 citation statements)

References 35 publications

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“…RIS technology is still in its infancy; however, most of the development aspects of RIS are presented in detail in [ 215 , 216 ]. Furthermore, beamforming development with RIS is studied in [ 217 , 218 , 219 ].…”

Section: Research Opportunities and Future Directionsmentioning

confidence: 99%

Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond

Jabbar

Abbasi

Anjum

et al. 2022

Sensors

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Industry 4.0 is a new paradigm of digitalization and automation that demands high data rates and real-time ultra-reliable agile communication. Industrial communication at sub-6 GHz industrial, scientific, and medical (ISM) bands has some serious impediments, such as interference, spectral congestion, and limited bandwidth. These limitations hinder the high throughput and reliability requirements of modern industrial applications and mission-critical scenarios. In this paper, we critically assess the potential of the 60 GHz millimeter-wave (mmWave) ISM band as an enabler for ultra-reliable low-latency communication (URLLC) in smart manufacturing, smart factories, and mission-critical operations in Industry 4.0 and beyond. A holistic overview of 60 GHz wireless standards and key performance indicators are discussed. Then the review of 60 GHz smart antenna systems facilitating agile communication for Industry 4.0 and beyond is presented. We envisage that the use of 60 GHz communication and smart antenna systems are crucial for modern industrial communication so that URLLC in Industry 4.0 and beyond could soar to its full potential.

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Section: Research Opportunities and Future Directionsmentioning

confidence: 99%

Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond

Jabbar

Abbasi

Anjum

et al. 2022

Sensors

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“…This is unacceptable especially when the RIS is fabricated with a large number of elements (e.g. 1100 elements in [15], 2304 elements in [16], and 10240 elements in [17]). Therefore, the following question naturally arises: Does there exist a dimensionindependent approach where the required pilot overhead is independent of the number of RIS elements?…”

Section: A Prior Workmentioning

confidence: 99%

Sensing RISs: Enabling Dimension-Independent CSI Acquisition for Beamforming

Zhu¹,

Liu²,

Wan³

et al. 2022

Preprint

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Reconfigurable intelligent surfaces (RISs) are envisioned as a potentially transformative technology for future wireless communications. However, RIS's inability to process signals and their attendant increased channel dimension have brought new challenges to RIS-assisted systems, which greatly increases the pilot overhead required for channel estimation. To address these problems, several prior contributions that enhance the hardware architecture of RISs or develop algorithms to exploit the channels' mathematical properties have been made, where the required pilot overhead is reduced to be proportional to the number of RIS elements. In this paper, we propose a dimension-independent channel state information (CSI) acquisition approach in which the required pilot overhead is independent of the number of RIS elements. Specifically, in contrast to traditional signal transmission methods, where signals from the base station (BS) and the users are transmitted in different time slots, we propose a novel method in which signals are transmitted from the BS and the user simultaneously during CSI acquisition. Under this method, an electromagnetic interference random field (IRF) will be induced on the RIS, and we employ a sensing RIS to capture its features. Moreover, we develop three algorithms for parameter estimation in this system, and also derive the Cramér-Rao lower bound (CRLB) and an asymptotic expression for it. Simulation results verify that our proposed signal transmission method and the corresponding algorithms can achieve dimension-independent CSI acquisition for beamforming.

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“…In addition, the IRS can serve as scattering surface to establish a rich scattering channel environment for achieving a diversity gain resembling that obtained from multiple-input multipleoutput (MIMO) communications [26]- [28]. Some prototypes are developed to check its feasibility, and some field trials regarding the usefulness of the IRS are performed as well [29]- [33]. Results show that the concept of the IRS can be successfully implemented, and improvement can be obtained in various scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…Generally speaking, both amplitude and phase can be adjusted for the IRS reflection. However, due to the nearly passive characteristics of the reflecting elements, the reflection coefficient of the amplitude should be smaller than one, and the phase range that can be adjusted is generally wider than that of the amplitude [33]. For that reason, tuning the phase shift only becomes more attractive than changing both the amplitude and phase of the reflected wave from the IRS.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization for Intelligent Reflective Surface-Aided Physical-Layer Multicasting

Lee

2022

IEEE Open J. Commun. Soc.

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In this paper, we examine the use of intelligent reflective surface (IRS) to reconfigure the wireless propagation environment which assists the physical-layer multicast transmission with simple single-antenna radios in the network. Different phase-shift strategies are employed to adjust the reflection of the IRS. On the one hand, the max-min criterion is utilized to enhance the achievable rate of the receive nodes inside the multicast-target group. On the other hand, for the nodes outside the multicast-target group in the same network, we take advantage of another min-max criterion to let them all be less interfered with by the specific multicast communication. Multiobjective optimization is then set to reveal the compromises between the effect on the nodes of the two different groups. Simulation results show that the proposed IRS-aided physical-layer multicasting can fulfill the above-stated task, and can let the nodes in either group gain better results.

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RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials

Cited by 240 publications

References 35 publications

Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond

Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond

Sensing RISs: Enabling Dimension-Independent CSI Acquisition for Beamforming

Multiobjective Optimization for Intelligent Reflective Surface-Aided Physical-Layer Multicasting

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