Symbol based rate adaptation in coded MIMO-OFDM systems

Chang Kyung Sung, Inkyu Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The use of space-division multiple access (SDMA) in the downlink of multiuser multi-input/multi-output (MIMO) wireless transmission systems can provide substantial gains in system throughput. When the channel state information (CSI) is available at the transmitter, a considerable performance improvement can be attained by adapting the transmission rates to the reported CSI. In addition, to combat frequency selective fadings in wideband wireless channels, bit-interleaved coded OFDM (BIC-OFDM) modulation schemes are employed to provide reliable packet delivery by utilizing frequency diversity through channel coding. In this paper, we propose an adaptive modulation and coding (AMC) scheme combined with an opportunistic scheduling technique for the MIMO BIC-OFDM with bandwidth-limited feedback channels. The proposed scheme enhances the link performance by exploiting both the frequency diversity and the multiuser diversity. To reduce the feedback information, the proposed AMC scheme employs rate adaptation methods based on an OFDM symbol rather than on the whole subchannels. Simulation results show that the proposed scheme exhibits a substantial performance gain with a reasonable complexity over single antenna systems.

    Original languageEnglish
    Title of host publication2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings
    Pages2078-2082
    Number of pages5
    Publication statusPublished - 2006
    Event2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia
    Duration: 2006 May 72006 Jul 10

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume5
    ISSN (Print)1550-2252

    Other

    Other2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring
    Country/TerritoryAustralia
    CityMelbourne
    Period06/5/706/7/10

    ASJC Scopus subject areas

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

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