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

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

doi:10.1109/LWC.2019.2935190

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

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

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

45 Citations (Scopus)

Abstract

Large intelligent surfaces (LISs) have been recently proposed as an effective wireless communication solution that can leverage antenna arrays deployed on the entirety of man-made structures such as walls. An LIS can provide space-intensive and reliable communication, enabling the desired wireless channel to exhibit a perfect line-of-sight. However, the outage probability of LIS, which is an important performance metric to evaluate the system reliability, remains uncharacterized. In this letter, the distribution of uplink sum-rate is asymptotically analyzed for an LIS system. Given the derived asymptotic distribution, the outage probability is derived for the considered LIS system. Simulation results show that the results of the proposed asymptotic analyses are in close agreement to the exact mutual information in the presence of a large number of antennas and devices.

Original language	English
Article number	8796421
Pages (from-to)	1662-1666
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	8
Issue number	6
DOIs	https://doi.org/10.1109/LWC.2019.2935190
Publication status	Published - 2019 Dec

Bibliographical note

Funding Information:
Manuscript received July 3, 2019; accepted August 11, 2019. Date of publication August 13, 2019; date of current version December 6, 2019. This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant NRF-2016R1A6A3A11936259, and in part by the U.S. National Science Foundation under Grant CNS-1836802 and Grant OAC-1638283. The associate editor coordinating the review of this article and approving it for publication was Y. Gao. (Corresponding author: Sooyong Choi.) M. Jung, Y. Jang, G. Kong, and S. Choi are with the School of Electrical Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: csyong@yonsei.ac.kr).

Publisher Copyright:
© 2012 IEEE.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/LWC.2019.2935190

Cite this

@article{f8c3a1a61bd540479234865a9d17b365,

title = "Reliability Analysis of Large Intelligent Surfaces (LISs): Rate Distribution and Outage Probability",

abstract = "Large intelligent surfaces (LISs) have been recently proposed as an effective wireless communication solution that can leverage antenna arrays deployed on the entirety of man-made structures such as walls. An LIS can provide space-intensive and reliable communication, enabling the desired wireless channel to exhibit a perfect line-of-sight. However, the outage probability of LIS, which is an important performance metric to evaluate the system reliability, remains uncharacterized. In this letter, the distribution of uplink sum-rate is asymptotically analyzed for an LIS system. Given the derived asymptotic distribution, the outage probability is derived for the considered LIS system. Simulation results show that the results of the proposed asymptotic analyses are in close agreement to the exact mutual information in the presence of a large number of antennas and devices.",

author = "Minchae Jung and Walid Saad and Youngrok Jang and Gyuyeol Kong and Sooyong Choi",

note = "Funding Information: Manuscript received July 3, 2019; accepted August 11, 2019. Date of publication August 13, 2019; date of current version December 6, 2019. This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant NRF-2016R1A6A3A11936259, and in part by the U.S. National Science Foundation under Grant CNS-1836802 and Grant OAC-1638283. The associate editor coordinating the review of this article and approving it for publication was Y. Gao. (Corresponding author: Sooyong Choi.) M. Jung, Y. Jang, G. Kong, and S. Choi are with the School of Electrical Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: csyong@yonsei.ac.kr). Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2019",

month = dec,

doi = "10.1109/LWC.2019.2935190",

language = "English",

volume = "8",

pages = "1662--1666",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE Communications Society",

number = "6",

}

TY - JOUR

T1 - Reliability Analysis of Large Intelligent Surfaces (LISs)

T2 - Rate Distribution and Outage Probability

AU - Jung, Minchae

AU - Saad, Walid

AU - Jang, Youngrok

AU - Kong, Gyuyeol

AU - Choi, Sooyong

N1 - Funding Information: Manuscript received July 3, 2019; accepted August 11, 2019. Date of publication August 13, 2019; date of current version December 6, 2019. This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant NRF-2016R1A6A3A11936259, and in part by the U.S. National Science Foundation under Grant CNS-1836802 and Grant OAC-1638283. The associate editor coordinating the review of this article and approving it for publication was Y. Gao. (Corresponding author: Sooyong Choi.) M. Jung, Y. Jang, G. Kong, and S. Choi are with the School of Electrical Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: csyong@yonsei.ac.kr). Publisher Copyright: © 2012 IEEE.

PY - 2019/12

Y1 - 2019/12

N2 - Large intelligent surfaces (LISs) have been recently proposed as an effective wireless communication solution that can leverage antenna arrays deployed on the entirety of man-made structures such as walls. An LIS can provide space-intensive and reliable communication, enabling the desired wireless channel to exhibit a perfect line-of-sight. However, the outage probability of LIS, which is an important performance metric to evaluate the system reliability, remains uncharacterized. In this letter, the distribution of uplink sum-rate is asymptotically analyzed for an LIS system. Given the derived asymptotic distribution, the outage probability is derived for the considered LIS system. Simulation results show that the results of the proposed asymptotic analyses are in close agreement to the exact mutual information in the presence of a large number of antennas and devices.

AB - Large intelligent surfaces (LISs) have been recently proposed as an effective wireless communication solution that can leverage antenna arrays deployed on the entirety of man-made structures such as walls. An LIS can provide space-intensive and reliable communication, enabling the desired wireless channel to exhibit a perfect line-of-sight. However, the outage probability of LIS, which is an important performance metric to evaluate the system reliability, remains uncharacterized. In this letter, the distribution of uplink sum-rate is asymptotically analyzed for an LIS system. Given the derived asymptotic distribution, the outage probability is derived for the considered LIS system. Simulation results show that the results of the proposed asymptotic analyses are in close agreement to the exact mutual information in the presence of a large number of antennas and devices.

UR - http://www.scopus.com/inward/record.url?scp=85076516884&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85076516884&partnerID=8YFLogxK

U2 - 10.1109/LWC.2019.2935190

DO - 10.1109/LWC.2019.2935190

M3 - Article

AN - SCOPUS:85076516884

SN - 2162-2337

VL - 8

SP - 1662

EP - 1666

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 6

M1 - 8796421

ER -

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this