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    A geometric programming solution for the mutual-interference model in HetNets

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    AGeometricProgrammin ... (131.3Kb)
    Identificadores
    URI: http://hdl.handle.net/10902/10960
    DOI: 10.1109/LCOMM.2016.2592914
    ISSN: 1089-7798
    ISSN: 1558-2558
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    Author
    Díez Fernández, Luis FranciscoAutoridad Unican; Popescu, George-Pantelimon; Agüero Calvo, RamónAutoridad Unican
    Date
    2016-09
    Derechos
    © 2016 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 Communications Letters, 2016, 20(9), 1876-1879
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    Enlace a la publicación
    https://doi.org/10.1109/LCOMM.2016.2592914
    Palabras clave
    Network model
    HetNets
    LTE
    Mutual interference
    Geometric programing
    Abstract:
    It is well known that the use of heterogeneous networks and densification strategies will be crucial to handle the wireless cellular traffic increase that is foreseen in the forthcoming years. Hence, the scientific community is putting effort into the proposal and assessment of radio resource management solutions for this type of deployments. For that, an accurate modeling of the underlying resources is mandatory. In this letter, we propose a mutual-interference model, which enables a precise estimation of the signal-to-interference and noise ratio (SINR), compared with the widespread constant-load alternative. This is of utter relevance, since the SINR has a direct influence on the spectral efficiency and, consequently, on the resources to be allocated. We also propose a transformation of the corresponding resource assignment problem, so that it can be solved using geometric programming techniques. The validity of this transformation is assessed by comparing the corresponding solution with the one that would have been obtained exploiting a heuristic approach (simulated annealing).
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    • D12 Artículos [297]
    • D12 Proyectos de Investigación [408]

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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