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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 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 languageEnglish (US)
Title of host publication2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)
PublisherIEEE
ISBN (Print)9781665413688
DOIs
StatePublished - 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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