Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems

He, Jiguang; Wymeersch, Henk; Kong, Long; Silvén, Olli; Juntti, Markku

doi:10.1109/vtc2020-spring48590.2020.9129075

Cited by 147 publications

(122 citation statements)

References 14 publications

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“…In [279], the authors investigate the use of RISs for positioning and object tracking in millimeter-wave MIMO wireless networks. The authors show that RISs provide promising performance thanks to the very sharp beams that they can realize.…”

Section: U Localization Positioning and Sensingmentioning

confidence: 99%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

2,006

918

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What is a reconfigurable intelligent surface? What is a smart radio environment? What is a metasurface? How do metasurfaces work and how to model them? How to reconcile the mathematical theories of communication and electromagnetism? What are the most suitable uses and applications of reconfigurable intelligent surfaces in wireless networks? What are the most promising smart radio environments for wireless applications? What is the current state of research? What are the most important and challenging research issues to tackle? These are a few of the many questions that we investigate in this short opus, which has the threefold objective of introducing the emerging research field of smart radio environments empowered by reconfigurable intelligent surfaces, putting forth the need of reconciling and reuniting C. E. Shannon's mathematical theory of communication with G. Green's and J. C. Maxwell's mathematical theories of electromagnetism, and reporting pragmatic guidelines and recipes for employing appropriate physics-based models of metasurfaces in wireless communications.

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Section: U Localization Positioning and Sensingmentioning

confidence: 99%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

2,006

918

View full text Add to dashboard Cite

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“…In particular, [77] derives the Cramér-Rao Bound for UE localization and positioning, whereas [4] studies the performance of LIS for positioning and localization and comparing the accuracy of distributed and centralized LIS systems. On the other hand, [14] examines the potential of mmWave MIMO system positioning with and without the aid of an LIS system. Finally, [78] expands the LIS model from planar to spherical surfaces and assesses its RSS and coverage.…”

Section: The Potential Of Positioning and Coverage In Lis Systemsmentioning

confidence: 99%

“…The quality of RSS values is a critical factor in determining the position of UEs. The study [14] investigates leveraging the phase and number of elements of the LIS system to aid the mmWave systems in obtaining high accuracy of positioning. The authors in [14] study the difference in the positioning performance of a conventional mmWave system and an LISassisted mmWave system.…”

Section: B Positioning In Mmwave Aided Systemsmentioning

confidence: 99%

“…As indoor scenarios (e.g., hospitals, hotels, security offices) require ultra-reliable high-speed communications, the authors in [11] propose coating the indoor objects with software-programmable hyper-surface tiles (a novel class of meta-surfaces), so as to improve both communication and coverage aspects of indoor wireless systems. LIS have indeed many other prospective applications, including indoor localization [14], health monitoring using smart T-shirts [10], imaging, quantum optics, and military purposes [11].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

et al. 2020

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This paper surveys the optimization frameworks and performance analysis methods for large intelligent surfaces (LIS), which have been emerging as strong candidates to support the sixth-generation wireless physical platforms (6G). Due to their ability to adjust the behavior of interacting electromagnetic (EM) waves through intelligent manipulations of the reflections phase shifts, LIS have shown promising merits at improving the spectral efficiency of wireless networks. In this context, researchers have been recently exploring LIS technology in depth as a means to achieve programmable, virtualized, and distributed wireless network infrastructures. From a system level perspective, LIS have also been proven to be a lowcost, green, sustainable, and energy-efficient solution for 6G systems. This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks. The paper first introduces the LIS technology and its physical working principle. Then, it presents various optimization frameworks that aim to optimize specific objectives, namely, maximizing energy efficiency, sum-rate, secrecy-rate, and coverage. The paper afterwards discusses various relevant performance analysis works including capacity analysis, the impact of hardware impairments on capacity, uplink/downlink data rate analysis, and outage probability. The paper further presents the impact of adopting the LIS technology for positioning applications. Finally, we identify numerous exciting open challenges for LIS-aided 6G wireless networks, including resource allocation problems, hybrid radio frequency/visible light communication (RF-VLC) systems, health considerations, and localization. INDEX TERMS 6G technology, large intelligent surfaces (LIS), massive multiple-input multiple-output (mMIMO), millimetre waves (mmWave) communication, wireless communication.

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“…In [6] and [7], compared with the above works, these works took into account the IRS with discrete phase shits instead of the IRS with continuous phase shifts, IRS with discrete phase shifts was investigated for MISO systems with a single user and multiple users. In IRSaided systems with wireless networks, in addition to sumrate optimization of systems addressed in above these papers, many other problems have also been investigated in the literature, including information rate maximization in [14], [16]- [21], channel estimation in [15], [36], and positioning in [37], [37]- [39]. To summarize, these studies show that the IRS is beneficial for enhancing the performance of various wireless communication systems, e.g., sum-rate, channel estimation accuracy, and energy efficiency.…”

Section: A Related Workmentioning

confidence: 99%

Secure Wireless Transmission for Intelligent Reflecting Surface-Aided Millimeter-Wave Systems

Xiu

Zhang

2020

IEEE Access

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Due to the broadcast nature of millimeter wave (mmWave) communications, physical layer security has always been a fundamental but challenging concern. Fortunately, the recent advance of intelligent reflecting surface (IRS) introduces another dimension for mmWave secure communications by reconfiguring the transmission environments. In this paper, we investigate the physical layer security issue for IRS-aided mmWave communications. Specifically, two scenarios are considered, i.e., with and without the knowledge of the eavesdropper's channel. When the eavesdropper's channel is known, under the unit modulus constraints at the IRS and the transmit power constraint at the access point (AP), the secrecy rate is maximized by jointly designing the beamforming vector of the AP and the phase shifts of the IRS. We propose an alternating optimization algorithm for improving the secrecy rate to solve the non-convex optimization problem. In particular, the phase shift matrix of the IRS is firstly optimized based on the manifold optimization algorithm. Under the given phase shift matrix of the IRS, the original problem is transformed into a difference of convex (DC) programming problem. To solve this problem, we use the successive convex approximation (SCA)-based method to transform the original problem into a convex approximation problem, and the transmit beamforming vector is obtained by solving the convex approximation problem. In addition, when the eavesdropper's channel is unknown, under the transmit power constraint and the minimum user rate constraint, an artificial-noise (AN)-aided scheme is proposed to jam the eavesdropper by maximizing the AN power. Numerical results evaluate that the performance of our proposed schemes is better than that of the conventional scheme in terms of secrecy rate. Moreover, simulations also demonstrate that the secrecy behaviors of the IRS-aided mmWave communication system are superior to the mmWave communications without IRS.

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Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems

Cited by 147 publications

References 14 publications

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

Secure Wireless Transmission for Intelligent Reflecting Surface-Aided Millimeter-Wave Systems

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