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

Madi Makin, Galymzhan Nauryzbayev, Sultangali Arzykulov, Mohammad Hashmi

20212021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)20 citationsDOI

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 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(K_{\mathrm{G}})$</tex> . The effects of a number of passive LIS pixels <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(N)$</tex> and fading parameters on the system performance are examined. Results show that the Gamma and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$K_{\mathrm{G}}$</tex> approximations are precise given different values of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$N$</tex> , while the CLT approximation's accuracy depends on the number of LIS elements implemented. Finally, analytical findings are validated by thorough Monte Carlo simulations.

Topics & Concepts

Ergodic theoryNakagami distributionComputer scienceAlgorithmLimit (mathematics)FadingDiscrete mathematicsTopology (electrical circuits)MathematicsApplied mathematicsCombinatoricsPure mathematicsMathematical analysisDecoding methodsAdvanced Wireless Communication TechnologiesSatellite Communication SystemsOptical Wireless Communication Technologies