| dc.contributor.author | Cuevas Fernández, Diego | |
| dc.contributor.author | Beltrán Álvarez, Carlos | |
| dc.contributor.author | Gutiérrez Navarro, Mikel | |
| dc.contributor.author | Santamaría Caballero, Luis Ignacio | |
| dc.contributor.author | Tucek, Vít | |
| dc.contributor.other | Universidad de Cantabria | es_ES |
| dc.date.accessioned | 2025-02-07T19:13:46Z | |
| dc.date.available | 2025-02-07T19:13:46Z | |
| dc.date.issued | 2024 | |
| dc.identifier.isbn | 979-8-3503-4481-3 | |
| dc.identifier.other | PID2020-113887GB-I00 | es_ES |
| dc.identifier.other | PID2022-137099NB-C43 | es_ES |
| dc.identifier.uri | https://hdl.handle.net/10902/35436 | |
| dc.description.abstract | In this paper, we propose a new structured Grass-mannian constellation for noncoherent communications over multiple-input multiple-output (MIMO) Rayleigh block-fading channels with two transmit antennas. The constellation, which we call Grass-Lattice, is based on a measure preserving mapping from the unit hypercube to the Grassmann manifold. The constellation structure allows for on-the-fly symbol generation and low-complexity decoding. Simulation results show that Grass-Lattice offers a superior bit error rate performance than other structured Grassmannian constellations such as Exp-Map. | es_ES |
| dc.description.sponsorship | This work was supported by Huawei Technologies Sweden, under the project GRASSCOM. The work of D. Cuevas was also partly supported under grant FPU20/03563 funded by MIU, Spain. The work of Carlos Beltran´ was also partly supported under grant PID2020-113887GB-I00 funded by MCIN/ AEI /10.13039/501100011033. The work of I. Santamaria was also partly supported under grant PID2022-137099NB-C43 (MADDIE) funded by MICIU/AEI /10.13039/501100011033 and FEDER, UE. | 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 | © 2024 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 13th Sensor Array and Multichannel Signal Processing Workshop (SAM), Corvalis, Oregon, USA, 41-45 | es_ES |
| dc.subject.other | Noncoherent communications | es_ES |
| dc.subject.other | Grassmannian constellations | es_ES |
| dc.subject.other | MIMO channels | es_ES |
| dc.subject.other | Measure-preserving mapping | es_ES |
| dc.title | Structured multi-antenna Grassmannian constellations for noncoherent communications | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.relation.publisherVersion | https://doi.org/10.1109/SAM60225.2024.10636457 | es_ES |
| dc.rights.accessRights | openAccess | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113887GB-I00/ES/DESIGN OF MINIMAL ENERGY SEQUENCES/ | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-137099NB-C43/ES/TECNOLOGIAS DE COMUNICACION, CODIFICACION Y PROCESADO PARA REDES CLASICAS-CUANTICAS DE PROXIMA GENERACION/ | es_ES |
| dc.identifier.DOI | 10.1109/SAM60225.2024.10636457 | |
| dc.type.version | acceptedVersion | es_ES |
