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

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

Computer, Electrical and Mathematical Sciences and Engineering

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

13 Scopus citations

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 (US)
Title of host publication	2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)
Publisher	IEEE
ISBN (Print)	9781665413688
DOIs	https://doi.org/10.1109/VTC2021-Fall52928.2021.9625422
State	Published - Sep 2021

Bibliographical note

KAUST Repository Item: Exported on 2023-01-27
Acknowledgements: VI. ACKNOWLEDGEMENT This work was supported by the Nazarbayev University Faculty Development Competitive Research Program under Grant no. 240919FD3935.

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10.1109/VTC2021-Fall52928.2021.9625422

https://repository.kaust.edu.sa/bitstream/10754/675322/1/RIS_NAK_NLOS.pdf

Cite this

@inproceedings{cadce6be7dda4db295b31dd700f4f2e1,

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_{\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.",

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

note = "KAUST Repository Item: Exported on 2023-01-27 Acknowledgements: VI. ACKNOWLEDGEMENT This work was supported by the Nazarbayev University Faculty Development Competitive Research Program under Grant no. 240919FD3935.",

year = "2021",

month = sep,

doi = "10.1109/VTC2021-Fall52928.2021.9625422",

language = "English (US)",

isbn = "9781665413688",

booktitle = "2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)",

publisher = "IEEE",

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T1 - Performance of Large Intelligent Surface-enabled Cooperative Networks over Nakagami-m Channels

AU - Makin, Madi

AU - Nauryzbayev, Galymzhan

AU - Arzykulov, Sultangali

AU - Hashmi, Mohammad S.

N1 - KAUST Repository Item: Exported on 2023-01-27 Acknowledgements: VI. ACKNOWLEDGEMENT This work was supported by the Nazarbayev University Faculty Development Competitive Research Program under Grant no. 240919FD3935.

PY - 2021/9

Y1 - 2021/9

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.

UR - http://hdl.handle.net/10754/675322

UR - https://ieeexplore.ieee.org/document/9625422/

UR - http://www.scopus.com/inward/record.url?scp=85123015600&partnerID=8YFLogxK

U2 - 10.1109/VTC2021-Fall52928.2021.9625422

DO - 10.1109/VTC2021-Fall52928.2021.9625422

M3 - Conference contribution

SN - 9781665413688

BT - 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

PB - IEEE

ER -

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

Abstract

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