<div class="csl-bib-body">
<div class="csl-entry">Uba, V. O. (2025). <i>Assignment Optimization of Reconfigurable Intelligent Surfaces</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.135927</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2025.135927
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/223908
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dc.description
Arbeit an der Bibliothek noch nicht eingelangt - Daten nicht geprüft
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dc.description
Abweichender Titel nach Übersetzung der Verfasserin/des Verfassers
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dc.description.abstract
In a multi-cell architecture, each Reconfigurable Intelligent Surface (RIS) is assigned to at most one Base Station (BS) at a time. We aim to maximize the worst-user SINR by optimizing the BS beamforming vectors and/or the binary RIS–BS assignment variables. This leads to a highly non-convex, non-linear mixed-integer optimization problem. To obtain tractable solutions, we develop four schemes: a large-scale MISOCP formulation, an alternating-optimization method, a quota-based allocation scheme, and an RIS optimization with fixed beamforming. All proposed schemes achieve substantial performance gains compared to a conventional no-RIS baseline.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
wireless communications
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dc.subject
convex optimization
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dc.subject
reconfigurable intelligent surfaces
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dc.title
Assignment Optimization of Reconfigurable Intelligent Surfaces