File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Joint Beamforming Optimization for Simultaneously Transmitting and Reflecting (STAR) RIS Aided Communications : (Invited Paper)

TitleJoint Beamforming Optimization for Simultaneously Transmitting and Reflecting (STAR) RIS Aided Communications : (Invited Paper)
Authors
KeywordsJoint beamforming optimization
reconfigurable intelligent surfaces
simultaneous transmission and reflection
Issue Date2021
Citation
Conference Record - Asilomar Conference on Signals, Systems and Computers, 2021, v. 2021-October, p. 709-714 How to Cite?
AbstractA novel concept of simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surfaces (RISs) is investigated, where the incident wireless signal is divided into transmitted and reflected signals passing into both sides of the space surrounding the surface, thus facilitating a full-space manipulation of signal propagation. Motivated by this unique feature, a STAR-RIS aided downlink communication system is considered, where a multi-antenna base station (BS) sends information to two users, i.e., one on each side of the STAR-RIS. A power consumption minimization problem for the joint optimization of the active beamforming at the BS and the passive transmission and reflection beamforming at the STAR-RIS is formulated, subject to communication rate constraints of the users. The resulting highly-coupled non-convex optimization problem is solved by an iterative algorithm, which exploits the penalty method and successive convex approximation. Finally, our numerical results reveal that the required power consumption is significantly reduced by employing the proposed STAR-RIS instead of conventional reflecting/transmiting-only RISs.
Persistent Identifierhttp://hdl.handle.net/10722/349640
ISSN
2023 SCImago Journal Rankings: 0.376

 

DC FieldValueLanguage
dc.contributor.authorMu, Xidong-
dc.contributor.authorLiu, Yuanwei-
dc.contributor.authorXu, Jiaqi-
dc.contributor.authorGuo, Li-
dc.contributor.authorLin, Jiaru-
dc.date.accessioned2024-10-17T06:59:53Z-
dc.date.available2024-10-17T06:59:53Z-
dc.date.issued2021-
dc.identifier.citationConference Record - Asilomar Conference on Signals, Systems and Computers, 2021, v. 2021-October, p. 709-714-
dc.identifier.issn1058-6393-
dc.identifier.urihttp://hdl.handle.net/10722/349640-
dc.description.abstractA novel concept of simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surfaces (RISs) is investigated, where the incident wireless signal is divided into transmitted and reflected signals passing into both sides of the space surrounding the surface, thus facilitating a full-space manipulation of signal propagation. Motivated by this unique feature, a STAR-RIS aided downlink communication system is considered, where a multi-antenna base station (BS) sends information to two users, i.e., one on each side of the STAR-RIS. A power consumption minimization problem for the joint optimization of the active beamforming at the BS and the passive transmission and reflection beamforming at the STAR-RIS is formulated, subject to communication rate constraints of the users. The resulting highly-coupled non-convex optimization problem is solved by an iterative algorithm, which exploits the penalty method and successive convex approximation. Finally, our numerical results reveal that the required power consumption is significantly reduced by employing the proposed STAR-RIS instead of conventional reflecting/transmiting-only RISs.-
dc.languageeng-
dc.relation.ispartofConference Record - Asilomar Conference on Signals, Systems and Computers-
dc.subjectJoint beamforming optimization-
dc.subjectreconfigurable intelligent surfaces-
dc.subjectsimultaneous transmission and reflection-
dc.titleJoint Beamforming Optimization for Simultaneously Transmitting and Reflecting (STAR) RIS Aided Communications : (Invited Paper)-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IEEECONF53345.2021.9723386-
dc.identifier.scopuseid_2-s2.0-85120029680-
dc.identifier.volume2021-October-
dc.identifier.spage709-
dc.identifier.epage714-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats