A framework for Gaussian Q approximation with BSA and its application to RIS-assisted systems

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dc.authoridKabalci, Yasin/0000-0003-1240-817X
dc.contributor.authorBilim, Mehmet
dc.contributor.authorKabalci, Yasin
dc.date.accessioned2025-02-24T17:18:53Z
dc.date.available2025-02-24T17:18:53Z
dc.date.issued2024
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractThis paper proposes a novel and improved Chiani approximation for the Gaussian Q-function by employing the backtracking search optimization algorithm (BSA). The proposed approximation includes only exponential terms which are comfortable for the mathematical functionality. Then, a wireless communication application of reconfigurable intelligent surface (RIS) structures, which are anticipated to play a crucial role in integrated sensing and communication (ISAC), has been presented. In the considered wireless communication scenario, the link between the source and RIS node is Nakagami-m fading, while the link between RIS node and the destination is Rayleigh fading. The received probability density function (PDF) expression of instantaneous signal to noise ratio for this system has been derived analytically. Using this derived PDF, the error expression (Pe) for the RISassisted communication system employing the rectangular quadrature amplitude modulation (RQAM) technique has been obtained with the assistance of the proposed improved Chiani approximation in this study. The obtained RQAM error figures are presented comparatively, and the results clearly show that the Pe expression by obtained the proposed approximation with BSA for the RIS-assisted communication system, which is an important aspect for ISAC, is in excellent agreement with computer simulations.
dc.identifier.doi10.1016/j.aeue.2024.155459
dc.identifier.issn1434-8411
dc.identifier.issn1618-0399
dc.identifier.scopus2-s2.0-85199786269
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.aeue.2024.155459
dc.identifier.urihttps://hdl.handle.net/20.500.14440/894
dc.identifier.volume185
dc.identifier.wosWOS:001282147500001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Gmbh
dc.relation.ispartofAeu-International Journal of Electronics and Communications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250201
dc.subjectReconfigurable intelligent surface
dc.subjectIntegrated sensing and communication
dc.subjectProbability density function expression
dc.subjectError expression
dc.titleA framework for Gaussian Q approximation with BSA and its application to RIS-assisted systems
dc.typeArticle

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