| dc.contributor.author | Lameiro Gutiérrez, Christian | |
| dc.contributor.author | Santamaría Caballero, Luis Ignacio | |
| dc.contributor.author | Utschick, Wolfgang | |
| dc.contributor.other | Universidad de Cantabria | es_ES |
| dc.date.accessioned | 2016-11-02T14:11:38Z | |
| dc.date.available | 2016-11-02T14:11:38Z | |
| dc.date.issued | 2014 | |
| dc.identifier.isbn | 978-1-4799-2894-1 | |
| dc.identifier.isbn | 978-1-4799-2893-4 | |
| dc.identifier.isbn | 978-1-4799-2892-7 | |
| dc.identifier.other | TEC2010-19545-C04-03 | es_ES |
| dc.identifier.other | CSD2008-00010 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/10902/9439 | |
| dc.description.abstract | In this paper, a cognitive radio (CR) scenario comprised of a secondary interference channel (IC) and a primary point-to-point link (PPL) is studied, when the former interferes the latter. In order to satisfy a given rate requirement at the PPL, typical approaches impose an interference temperature constraint (IT).When the PPL transmits multiple streams, however, the spatial structure of the interference comes into play. In such cases, we show that spatial interference shaping constraints can provide higher sum-rate performance to the IC while ensuring the required rate at the PPL. Then, we extend the interference leakage minimization algorithm (MinIL) to incorporate such constraints. An additional power control step is included in the optimization procedure to improve the sum-rate when the interference alignment (IA) problem becomes infeasible due to the additional constraint. Numerical examples are provided to illustrate the effectiveness of the spatial shaping constraint in comparison to IT when the PPL transmits multiple data streams. | es_ES |
| dc.description.sponsorship | The research leading to these results has received funding from the Spanish Government (MICINN) under projects TEC2010-19545-C04-03 (COSIMA), CONSOLIDER-INGENIO 2010 CSD2008-00010 (COMONSENS), and FPU Grant AP2010-2189. This research has been funded by the Deutsche Forschungsgemeinschaft (DFG) under the grant Ut36/15-1. | es_ES |
| dc.format.extent | 5 p. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | IEEE | es_ES |
| dc.rights | © 2014 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 International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, 2014, 7313-7317 | es_ES |
| dc.subject.other | Cognitive radio | es_ES |
| dc.subject.other | Interference alignment | es_ES |
| dc.subject.other | Interference channel | es_ES |
| dc.subject.other | Interference temperature | es_ES |
| dc.title | Interference shaping constraints for underlay MIMO interference channels | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.relation.publisherVersion | https://doi.org/10.1109/ICASSP.2014.6855020 | es_ES |
| dc.rights.accessRights | openAccess | es_ES |
| dc.identifier.DOI | 10.1109/ICASSP.2014.6855020 | |
| dc.type.version | acceptedVersion | es_ES |
