Cellular MIMO channel capacities of MC-CDMA and OFDM

Koichi Adachi, Fumiyuki Adachi, Masao Nakagawa

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

    5 Citations (Scopus)


    Multicarrier transmission techniques (i.e., orthogonal frequency division multiplexing (OFDM) and multi-carrier code division multiple access (MC-CDMA)) are the promising candidates for wireless access technique in future cellular communication systems because of their capability to eliminate the multipath interference. Multiple-input multiple-output (MIMO)-space division multiplexing (SDM) can increase the transmission rate without bandwidth expansion. A combination of multi-carrier technique and MIMO is a promising technique. However, the transmission performance of MC-CDMA severely degrades because of the inter-code interference (ICI) arising from the orthogonality distortion owing to the frequency-selective fading. In this paper, we derive the channel capacity formula for MC-CDMA MIMO taking into account the ICI and co-channel interference (CCI) in a cellular environment. Recently, many ICI cancellers have been proposed. The cellular channel capacity of MC-CDMA MIMO with perfect ICI cancellation is numerically evaluated and is compared to that of OFDM MIMO in a cellular environment. The impacts of the frequency-reuse factor and the number of propagation paths are also discussed. The numerical computation results show that the cellular channel capacity of MC-CDMA is larger than that of OFDM.

    Original languageEnglish
    Title of host publication2008 IEEE 67th Vehicular Technology Conference-Spring, VTC
    Number of pages5
    Publication statusPublished - 2008 Jul 28
    Event2008 IEEE 67th Vehicular Technology Conference-Spring, VTC - Marina Bay, Singapore
    Duration: 2008 May 112008 May 14


    Other2008 IEEE 67th Vehicular Technology Conference-Spring, VTC
    CityMarina Bay


    • Link capacity
    • MIMO
    • Multi-cell environment

    ASJC Scopus subject areas

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


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