Performance of Large Intelligent Surface-enabled Cooperative Networks over Nakagami-m Channels

Madi Makin; Galymzhan Nauryzbayev; Sultangali Arzykulov; Mohammad S. Hashmi

doi:10.1109/VTC2021-Fall52928.2021.9625422

Performance of Large Intelligent Surface-enabled Cooperative Networks over Nakagami-m Channels

Nazarbayev University
King Abdullah University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Citations (Scopus)

Abstract

In this paper, we analyze the system performance of a large intelligent surface (LIS) enabled wireless system over Nakagami-m channels. We derive closed-form expressions of the outage probability, ergodic capacity, and average bit error rate using different approximation methods, namely, central limit theorem (CLT), Gamma and generalized-K (K_{\mathrm{G}}). The effects of a number of passive LIS pixels (N) and fading parameters on the system performance are examined. Results show that the Gamma and K_{\mathrm{G}} approximations are precise given different values of N, while the CLT approximation's accuracy depends on the number of LIS elements implemented. Finally, analytical findings are validated by thorough Monte Carlo simulations.

Original language	English
Title of host publication	2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665413688
DOIs	https://doi.org/10.1109/VTC2021-Fall52928.2021.9625422
Publication status	Published - 2021
Event	94th IEEE Vehicular Technology Conference, VTC 2021-Fall - Virtual, Online, United States Duration: Sept 27 2021 → Sept 30 2021

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2021-September
ISSN (Print)	1550-2252

Conference

Conference	94th IEEE Vehicular Technology Conference, VTC 2021-Fall
Country/Territory	United States
City	Virtual, Online
Period	9/27/21 → 9/30/21

Funding

VI. ACKNOWLEDGEMENT This work was supported by the Nazarbayev University Faculty Development Competitive Research Program under Grant no. 240919FD3935.

Keywords

Bit error rate (BER)
cooperative communications
ergodic capacity
large intelligent surface (LIS)
outage probability (OP)

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VTC2021-Fall52928.2021.9625422

Cite this

Makin, M., Nauryzbayev, G., Arzykulov, S., & Hashmi, M. S. (2021). Performance of Large Intelligent Surface-enabled Cooperative Networks over Nakagami-m Channels. In 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings (IEEE Vehicular Technology Conference; Vol. 2021-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2021-Fall52928.2021.9625422

Performance of Large Intelligent Surface-enabled Cooperative Networks over Nakagami-m Channels. / Makin, Madi; Nauryzbayev, Galymzhan ; Arzykulov, Sultangali et al.
2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (IEEE Vehicular Technology Conference; Vol. 2021-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Makin, M, Nauryzbayev, G , Arzykulov, S & Hashmi, MS 2021, Performance of Large Intelligent Surface-enabled Cooperative Networks over Nakagami-m Channels. in 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings. IEEE Vehicular Technology Conference, vol. 2021-September, Institute of Electrical and Electronics Engineers Inc., 94th IEEE Vehicular Technology Conference, VTC 2021-Fall, Virtual, Online, United States, 9/27/21. https://doi.org/10.1109/VTC2021-Fall52928.2021.9625422

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title = "Performance of Large Intelligent Surface-enabled Cooperative Networks over Nakagami-m Channels",

abstract = "In this paper, we analyze the system performance of a large intelligent surface (LIS) enabled wireless system over Nakagami-m channels. We derive closed-form expressions of the outage probability, ergodic capacity, and average bit error rate using different approximation methods, namely, central limit theorem (CLT), Gamma and generalized-K (K\_\{\textbackslash{}mathrm\{G\}\}). The effects of a number of passive LIS pixels (N) and fading parameters on the system performance are examined. Results show that the Gamma and K\_\{\textbackslash{}mathrm\{G\}\} approximations are precise given different values of N, while the CLT approximation's accuracy depends on the number of LIS elements implemented. Finally, analytical findings are validated by thorough Monte Carlo simulations. ",

keywords = "Bit error rate (BER), cooperative communications, ergodic capacity, large intelligent surface (LIS), outage probability (OP)",

author = "Madi Makin and Galymzhan Nauryzbayev and Sultangali Arzykulov and Hashmi, \{Mohammad S.\}",

note = "Funding Information: VI. ACKNOWLEDGEMENT This work was supported by the Nazarbayev University Faculty Development Competitive Research Program under Grant no. 240919FD3935. Publisher Copyright: {\textcopyright} 2021 IEEE.; 94th IEEE Vehicular Technology Conference, VTC 2021-Fall ; Conference date: 27-09-2021 Through 30-09-2021",

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N1 - Funding Information: VI. ACKNOWLEDGEMENT This work was supported by the Nazarbayev University Faculty Development Competitive Research Program under Grant no. 240919FD3935. Publisher Copyright: © 2021 IEEE.

PY - 2021

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N2 - In this paper, we analyze the system performance of a large intelligent surface (LIS) enabled wireless system over Nakagami-m channels. We derive closed-form expressions of the outage probability, ergodic capacity, and average bit error rate using different approximation methods, namely, central limit theorem (CLT), Gamma and generalized-K (K_{\mathrm{G}}). The effects of a number of passive LIS pixels (N) and fading parameters on the system performance are examined. Results show that the Gamma and K_{\mathrm{G}} approximations are precise given different values of N, while the CLT approximation's accuracy depends on the number of LIS elements implemented. Finally, analytical findings are validated by thorough Monte Carlo simulations.

AB - In this paper, we analyze the system performance of a large intelligent surface (LIS) enabled wireless system over Nakagami-m channels. We derive closed-form expressions of the outage probability, ergodic capacity, and average bit error rate using different approximation methods, namely, central limit theorem (CLT), Gamma and generalized-K (K_{\mathrm{G}}). The effects of a number of passive LIS pixels (N) and fading parameters on the system performance are examined. Results show that the Gamma and K_{\mathrm{G}} approximations are precise given different values of N, while the CLT approximation's accuracy depends on the number of LIS elements implemented. Finally, analytical findings are validated by thorough Monte Carlo simulations.

KW - Bit error rate (BER)

KW - cooperative communications

KW - ergodic capacity

KW - large intelligent surface (LIS)

KW - outage probability (OP)

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Performance of Large Intelligent Surface-enabled Cooperative Networks over Nakagami-m Channels

Abstract

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Keywords

ASJC Scopus subject areas

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