| dc.contributor.author | Soleymani, Mohammad | |
| dc.contributor.author | Santamaría Caballero, Luis Ignacio | |
| dc.contributor.author | Sezgin, Aydin | |
| dc.contributor.author | Jorswieck, Eduard | |
| dc.contributor.other | Universidad de Cantabria | es_ES |
| dc.date.accessioned | 2024-02-14T19:22:21Z | |
| dc.date.available | 2024-02-14T19:22:21Z | |
| dc.date.issued | 2023 | |
| dc.identifier.isbn | 979-8-3503-4452-3 | |
| dc.identifier.other | PID2022-137099NB-C43 | es_ES |
| dc.identifier.uri | https://hdl.handle.net/10902/31749 | |
| dc.description.abstract | Reconfigurable intelligent surface (RIS) is a promising technology to enhance the spectral efficiency of wireless communication systems. By optimizing the RIS elements, the performance of the overall system can be improved. Yet, in contrast to single-carrier systems, in multi-carrier systems, it is not possible to independently optimize RIS elements at each sub-carrier, which may reduce the benefits of RIS in multi-user orthogonal frequency division multiplexing (OFDM) systems. To this end, we investigate the effectiveness of RIS in multiple-input, multiple-output (MIMO) OFDM broadcast channels (BC). We formulate and solve a joint precoding and RIS optimization problem. We show that RIS can significantly improve the system performance even when the number of RIS elements per sub-band is very low. | es_ES |
| dc.description.sponsorship | The work of Ignacio Santamaria was funded by MCIN/ AEI/10.13039/501100011033 under Grant PID2022-137099NB-C43 (MADDIE). The work of Eduard Jorswieck was supported in part by the Federal Ministry of Education and Research (BMBF, Germany) as part of the 6G Research and Innovation Cluster 6G-RIC under Grant 16KISK031. This work of Aydin Sezgin is funded by the German Federal Ministry of Education and Research (BMBF) in the course of the 6GEM Research Hub under Grant 16KISK037. | es_ES |
| dc.format.extent | 5 p. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Institute of Electrical and Electronics Engineers, Inc. | es_ES |
| dc.rights | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | es_ES |
| dc.source | IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Herradura, Costa Rica, 2023, 11-15 | es_ES |
| dc.subject.other | MIMO broadcast channels | es_ES |
| dc.subject.other | OFDM systems | es_ES |
| dc.subject.other | Rate optimization | es_ES |
| dc.subject.other | Reconfigurable intelligent surface | es_ES |
| dc.title | Maximization of minimum rate in MIMO OFDM RIS-assisted broadcast channels | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.relation.publisherVersion | https://doi.org/10.1109/CAMSAP58249.2023.10403459 | es_ES |
| dc.rights.accessRights | openAccess | es_ES |
| dc.identifier.DOI | 10.1109/CAMSAP58249.2023.10403459 | |
| dc.type.version | acceptedVersion | es_ES |
