Reliability Analysis of Large Intelligent Surfaces (LISs): Rate Distribution and Outage Probability

Jung, Minchae; Saad, Walid; Jang, Youngrok; Kong, Gyuyeol; Choi, Sooyong

doi:10.1109/lwc.2019.2935190

Cited by 102 publications

(82 citation statements)

References 9 publications

(35 reference statements)

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“…In [117], the authors study the distribution of the uplink sum-rate of an RIS-based system. Leveraging the derived asymptotic expression of the rate, the authors introduce an analytical framework for computing the outage probability.…”

Section: H Performance Evaluationmentioning

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.

2,247

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: H Performance Evaluationmentioning

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.

2,247

918

View full text Add to dashboard Cite

show abstract

“…Motivated by the appealing advantages, RIS-assisted networks have been investigated in many different contexts such as capacity and rate improvement analysis [7], [8], power efficiency optimization [5], [9], communication reliability [10], [11], physical layer security (PLS), and so on. PLS has emerged as a powerful complementary solution for enhancing the security of future wireless communication systems besides cryptographic algorithms.…”

Section: Introductionmentioning

confidence: 99%

Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey

Almohamad

Tahir

Al‐Kababji

et al. 2020

IEEE Open J. Commun. Soc.

110

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With the emergence of the internet of things (IoT) technology, wireless connectivity should be more ubiquitous than ever. In fact, the availability of wireless connection everywhere comes with security threats that, unfortunately, cannot be handled by conventional cryptographic solutions alone, especially in heterogeneous and decentralized future wireless networks. In general, physical layer security (PLS) helps in bridging this gap by taking advantage of the fading propagation channel. Moreover, the adoption of reconfigurable intelligent surfaces (RIS) in wireless networks makes the PLS techniques more efficient by involving the channel into the design loop. In this paper, we conduct a comprehensive literature review on the RIS-assisted PLS for future wireless communications. We start by introducing the basic concepts of RISs and their different applications in wireless communication networks and the most common PLS performance metrics. Then, we focus on the review and classification of RIS-assisted PLS applications, exhibiting multiple scenarios, system models, objectives, and methodologies. In fact, most of the works in this field formulate an optimization problem to maximize the secrecy rate (SR) or secrecy capacity (SC) at a legitimate user by jointly optimizing the beamformer at the transmitter and the RIS's coefficients, while the differences are in the adopted methodology to optimally/sub-optimally approach the solution. We finalize this survey by presenting some insightful recommendations and suggesting open problems for future research extensions.

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Section: A Rate Distribution and Outage Probabilitymentioning

confidence: 99%

“…In [66], the authors attempt to characterize the coverage in terms of outage probability, which is a significant performance measure to estimate the reliability of the LIS systems. In [66], the asymptotic analysis of the sum-rate is used to obtain the analytical expression of the outage probability. The study in [66] claims that the approximation provides a precise estimate of the probability of outage and reduces the necessity for extensive simulations and extraneous computational time.…”

Section: A Rate Distribution and Outage Probabilitymentioning

confidence: 99%

“…In [66], the asymptotic analysis of the sum-rate is used to obtain the analytical expression of the outage probability. The study in [66] claims that the approximation provides a precise estimate of the probability of outage and reduces the necessity for extensive simulations and extraneous computational time. Moreover, the simulation results prove that despite the fluctuating SNR, the probability of outage is unaffected when the number of antenna and devices is significantly large.…”

Section: A Rate Distribution and Outage Probabilitymentioning

confidence: 99%

See 1 more Smart Citation

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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Reliability Analysis of Large Intelligent Surfaces (LISs): Rate Distribution and Outage Probability

Cited by 102 publications

References 9 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

Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey

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

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