Performance analysis of large intelligent surfaces (LISs): Asymptotic data rate and channel hardening effects

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

doi:10.1109/TWC.2019.2961990

Performance analysis of large intelligent surfaces (LISs): Asymptotic data rate and channel hardening effects

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

Department of Electrical and Electronic Engineering

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

101 Citations (Scopus)

Abstract

The concept of a large intelligent surface (LIS) has recently emerged as a promising wireless communication paradigm that can exploit the entire surface of man-made structures for transmitting and receiving information. An LIS is expected to go beyond massive multiple-input multiple-output (MIMO) system, insofar as the desired channel can be modeled as a perfect line-of-sight. To understand the fundamental performance benefits, it is imperative to analyze its achievable data rate, under practical LIS environments and limitations. In this paper, an asymptotic analysis of the uplink data rate in an LIS-based large antenna-array system is presented. In particular, the asymptotic LIS rate is derived in a practical wireless environment where the estimated channel on LIS is subject to estimation errors, interference channels are spatially correlated Rician fading channels, and the LIS experiences hardware impairments. Moreover, the occurrence of the channel hardening effect is analyzed and the performance bound is asymptotically derived for the considered LIS system. The analytical asymptotic results are then shown to be in close agreement with the exact mutual information as the number of antennas and devices increase without bounds. Moreover, the derived ergodic rates show that hardware impairments, noise, and interference from estimation errors and the non-line-of-sight path become negligible as the number of antennas increases. Simulation results show that an LIS can achieve a performance that is comparable to conventional massive MIMO with improved reliability and a significantly reduced area for antenna deployment.

Original language	English
Article number	8948323
Pages (from-to)	2052-2065
Number of pages	14
Journal	IEEE Transactions on Wireless Communications
Volume	19
Issue number	3
DOIs	https://doi.org/10.1109/TWC.2019.2961990
Publication status	Published - 2020 Mar

Bibliographical note

Funding Information:
Manuscript received June 8, 2019; revised October 25, 2019; accepted December 11, 2019. Date of publication January 1, 2020; date of current version March 10, 2020. 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 IIS-1633363 and Grant OAC-1638283. This article was presented in part at the 2020 European Conference on Networks and Communications (EuCNC 2020) [1]. The associate editor coordinating the review of this article and approving it for publication was C. Masouros. (Corresponding author: Sooyong Choi.) Minchae Jung is with the Wireless@VT, Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA (e-mail: hosaly@vt.edu).

Publisher Copyright:
© 2002-2012 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/TWC.2019.2961990

Cite this

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title = "Performance analysis of large intelligent surfaces (LISs): Asymptotic data rate and channel hardening effects",

abstract = "The concept of a large intelligent surface (LIS) has recently emerged as a promising wireless communication paradigm that can exploit the entire surface of man-made structures for transmitting and receiving information. An LIS is expected to go beyond massive multiple-input multiple-output (MIMO) system, insofar as the desired channel can be modeled as a perfect line-of-sight. To understand the fundamental performance benefits, it is imperative to analyze its achievable data rate, under practical LIS environments and limitations. In this paper, an asymptotic analysis of the uplink data rate in an LIS-based large antenna-array system is presented. In particular, the asymptotic LIS rate is derived in a practical wireless environment where the estimated channel on LIS is subject to estimation errors, interference channels are spatially correlated Rician fading channels, and the LIS experiences hardware impairments. Moreover, the occurrence of the channel hardening effect is analyzed and the performance bound is asymptotically derived for the considered LIS system. The analytical asymptotic results are then shown to be in close agreement with the exact mutual information as the number of antennas and devices increase without bounds. Moreover, the derived ergodic rates show that hardware impairments, noise, and interference from estimation errors and the non-line-of-sight path become negligible as the number of antennas increases. Simulation results show that an LIS can achieve a performance that is comparable to conventional massive MIMO with improved reliability and a significantly reduced area for antenna deployment.",

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

note = "Funding Information: Manuscript received June 8, 2019; revised October 25, 2019; accepted December 11, 2019. Date of publication January 1, 2020; date of current version March 10, 2020. 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 IIS-1633363 and Grant OAC-1638283. This article was presented in part at the 2020 European Conference on Networks and Communications (EuCNC 2020) [1]. The associate editor coordinating the review of this article and approving it for publication was C. Masouros. (Corresponding author: Sooyong Choi.) Minchae Jung is with the Wireless@VT, Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA (e-mail: hosaly@vt.edu). Publisher Copyright: {\textcopyright} 2002-2012 IEEE.",

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Performance analysis of large intelligent surfaces (LISs): Asymptotic data rate and channel hardening effects

Abstract

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