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    Interference shaping constraints for underlay MIMO interference channels

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    InterferenceShapingC ... (134.1Kb)
    Identificadores
    URI: http://hdl.handle.net/10902/9439
    DOI: 10.1109/ICASSP.2014.6855020
    ISBN: 978-1-4799-2894-1
    ISBN: 978-1-4799-2893-4
    ISBN: 978-1-4799-2892-7
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    Author
    Lameiro Gutiérrez, ChristianAutoridad Unican; Santamaría Caballero, Luis IgnacioAutoridad Unican; Utschick, Wolfgang
    Date
    2014
    Derechos
    © 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.
    Publicado en
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, 2014, 7313-7317
    Publisher
    IEEE
    Enlace a la publicación
    https://doi.org/10.1109/ICASSP.2014.6855020
    Palabras clave
    Cognitive radio
    Interference alignment
    Interference channel
    Interference temperature
    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.
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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contact Us | Send Feedback
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 3.0 España