Dual-polarized wireless communications: From propagation models to system performance evaluation

Claude Oestges, Bruno Clerckx, Maxime Guillaud, Mérouane Debbah

    Research output: Contribution to journalArticlepeer-review

    207 Citations (Scopus)

    Abstract

    In this paper, we address the potential benefits of dual-polarized arrays in multi-antenna wireless systems. After an extensive literature overview of experimental data, we present a new and simple analytical framework to model dual-polarized Rayleigh and Ricean fading channels for arbitrary array sizes. The model relies on a limited number of physical parameters, such as the channel spatial correlations, the channel co-polar and the cross-polar ratios and the antenna cross-polar discrimination. Then, we investigate the multiplexing advantage of dual-polarized transmissions through the evaluation of the ergodic mutual information, for both TITO and MIMO systems. Finally, the performance of two space-time coding schemes (Alamouti O-STBC and uncoded Spatial Multiplexing) is evaluated via a detailed analysis of the pairwise error probability.

    Original languageEnglish
    Article number4657346
    Pages (from-to)4019-4031
    Number of pages13
    JournalIEEE Transactions on Wireless Communications
    Volume7
    Issue number10
    DOIs
    Publication statusPublished - 2008 Oct

    Bibliographical note

    Funding Information:
    Manuscript received May, 22, 2007; revised October 18, 2007 and May, 27, 2008; accepted July, 31, 2008. The associate editor coordinating the review of this paper and approving it for publication was Y. Gong. This work was supported in part by the Belgian Fonds de la Recherche Scientifique, France Telecom R&D, the EU Network of Excellence NEWCOM and the I0 strategic project of ftw. ftw. is supported by the Austrian Government and by the City of Vienna within the competence center program COMET.

    Keywords

    • MIMO
    • Mutual information
    • Polarization
    • Propagation

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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