On the diversity enhancement and power balancing of per-subcarrier transmit antenna selection in OFDM systems

Ki Hong Park, Young Chai Ko, Mohamed Slim Alouini

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    In this paper, we consider multicarrier systems with multiple transmit antennas under a power-balancing constraint. Applying transmit antenna selection and discrete rate-adaptive modulation using M-ary quadrature-amplitude modulation (QAM) according to the channel variation per subcarrier, we develop an optimal transmit antenna selection scheme in terms of the maximum spectral efficiency, where all the possible groupings for sending the same information-bearing signals in a group of subcarriers are searched, and the groups of subcarriers for providing the frequency diversity gain are formed. In addition, we propose a suboptimal method for reducing the computational complexity of the optimal method. The suboptimal scheme considers only the subcarriers under outage, and these subcarriers are sequentially combined until the required signal-to-noise ratio (SNR) is met. Numerical results show that the proposed suboptimal method with diversity combining outperforms the optimal antenna selection without diversity combining, as introduced in the work of Sandell and Coon, particularly for low-SNR regions, and offers the spectral efficiency close to the optimal method with diversity combining while maintaining lower complexity.

    Original languageEnglish
    Article number5755213
    Pages (from-to)2405-2410
    Number of pages6
    JournalIEEE Transactions on Vehicular Technology
    Volume60
    Issue number5
    DOIs
    Publication statusPublished - 2011 Jun

    Keywords

    • Diversity enhancement and adaptive modulation
    • orthogonal frequency-division multiplexing (OFDM)
    • power-balancing constraint
    • transmit antenna selection (TAS)

    ASJC Scopus subject areas

    • Automotive Engineering
    • Aerospace Engineering
    • Electrical and Electronic Engineering
    • Applied Mathematics

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