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Performance Analysis of Reconfigurable Intelligent Surfaces over Nakagami-m Fading Channels

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dc.contributor.author Samuh, Monjed H.
dc.contributor.author Salhab, Anas M.
dc.date.accessioned 2020-11-25T09:51:37Z
dc.date.accessioned 2022-05-22T08:52:22Z
dc.date.available 2020-11-25T09:51:37Z
dc.date.available 2022-05-22T08:52:22Z
dc.date.issued 2020-10-15
dc.identifier.citation arXiv:2010.07841 en_US
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/8094
dc.description.abstract This letter studies the performance of reconfigurable intelligent surface (RIS)-aided networks over Nakagami-m fading channels. First, we derive accurate closed-form approximations for the system channel distributions, and then, use them in deriving closed-form approximations for the outage probability, average symbol error probability (ASEP), and the average channel capacity. In addition, to get more insights at the system performance, we derive asymptotic expression for the outage probability at the high signal-to-noise ratio (SNR) regime, and provide closed-form expressions for the system diversity order and coding gain. Results show that the considered RIS scenario can provide a diversity order of a+1/2, where a is a function of the Nakagami-m fading parameter m and the number of reflecting elements N. Furthermore, results illustrate that m is more impactful on the diversity order and the system performance than N. Finally, the provided results are valid for arbitrary number of reflecting elements N and non-integer m. en_US
dc.language.iso en en_US
dc.publisher arXiv.org en_US
dc.subject Reconfigurable intelligent surface en_US
dc.subject Nakagami-m distribution en_US
dc.subject accurate approximations en_US
dc.title Performance Analysis of Reconfigurable Intelligent Surfaces over Nakagami-m Fading Channels en_US
dc.type Article en_US

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