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Conference Paper: Simultaneously Transmitting and Reflecting (STAR)-RISs: A Coupled Phase-Shift Model

TitleSimultaneously Transmitting and Reflecting (STAR)-RISs: A Coupled Phase-Shift Model
Authors
KeywordsCoefficient design
coupled phase-shift model
reconfigurable intelligent surfaces
simultaneous transmission and reflection
Issue Date2022
Citation
IEEE International Conference on Communications, 2022, v. 2022-May, p. 2840-2845 How to Cite?
AbstractA simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided communication system is investigated, where an access point sends information to two users located on each side of the STAR-RIS. Different from current works assuming that the phase-shift coefficients for transmission and reflection can be independently adjusted, which is non-trivial to realize for purely passive STAR-RISs, a coupled transmission and reflection phase-shift model is considered. Based on this model, a power consumption minimization problem is formulated for both non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA). In particular, the amplitude and phase-shift coefficients for transmission and reflection are jointly optimized, subject to the rate constraints of the users. To solve this non-convex problem, an efficient element-wise alternating optimization algorithm is developed to find a high-quality suboptimal solution, whose complexity scales only linearly with the number of STAR elements. Finally, numerical results are provided for both NOMA and OMA to validate the effectiveness of the proposed algorithm by comparing its performance with that of STAR-RISs using the independent phase-shift model and conventional reflecting/transmitting-only RISs.
Persistent Identifierhttp://hdl.handle.net/10722/349780
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLiu, Yuanwei-
dc.contributor.authorMu, Xidong-
dc.contributor.authorSchober, Robert-
dc.contributor.authorPoor, H. Vincent-
dc.date.accessioned2024-10-17T07:00:46Z-
dc.date.available2024-10-17T07:00:46Z-
dc.date.issued2022-
dc.identifier.citationIEEE International Conference on Communications, 2022, v. 2022-May, p. 2840-2845-
dc.identifier.issn1550-3607-
dc.identifier.urihttp://hdl.handle.net/10722/349780-
dc.description.abstractA simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided communication system is investigated, where an access point sends information to two users located on each side of the STAR-RIS. Different from current works assuming that the phase-shift coefficients for transmission and reflection can be independently adjusted, which is non-trivial to realize for purely passive STAR-RISs, a coupled transmission and reflection phase-shift model is considered. Based on this model, a power consumption minimization problem is formulated for both non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA). In particular, the amplitude and phase-shift coefficients for transmission and reflection are jointly optimized, subject to the rate constraints of the users. To solve this non-convex problem, an efficient element-wise alternating optimization algorithm is developed to find a high-quality suboptimal solution, whose complexity scales only linearly with the number of STAR elements. Finally, numerical results are provided for both NOMA and OMA to validate the effectiveness of the proposed algorithm by comparing its performance with that of STAR-RISs using the independent phase-shift model and conventional reflecting/transmitting-only RISs.-
dc.languageeng-
dc.relation.ispartofIEEE International Conference on Communications-
dc.subjectCoefficient design-
dc.subjectcoupled phase-shift model-
dc.subjectreconfigurable intelligent surfaces-
dc.subjectsimultaneous transmission and reflection-
dc.titleSimultaneously Transmitting and Reflecting (STAR)-RISs: A Coupled Phase-Shift Model-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICC45855.2022.9838767-
dc.identifier.scopuseid_2-s2.0-85136991518-
dc.identifier.volume2022-May-
dc.identifier.spage2840-
dc.identifier.epage2845-

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