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    Performance Measure of Multi-User Detection Algorithms for MIMO Relay Network

    133766_15037_Muhammad Khandaker_Performance Measure of Multi-User Detection Algorithms for MIMO Relay Network.pdf (178.2Kb)
    Access Status
    Open access
    Authors
    Khandaker, Muhammad
    Rong, Yue
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Khandaker, M.R.A. and Rong, Yue. 2009. Performance Measure of Multi-User Detection Algorithms for MIMO Relay Network, 10th Postgraduate Electrical Engineering & Computer Symposium, Oct 1 2009. Edith Cowan University, Perth, Australia: Edith Cowan University.
    Source Title
    Proceedings of the 10th Postgraduate Electrical Engineering & Computer Symposium
    Source Conference
    10th Postgraduate Electrical Engineering & Computer Symposium
    Faculty
    Department of Electrical and Computer Engineering
    School of Engineering
    Faculty of Science and Engineering
    Remarks

    This conference paper was presented at the PEECS 2009 conference, held at Edith Cowan University, WA.

    URI
    http://hdl.handle.net/20.500.11937/13926
    Collection
    • Curtin Research Publications
    Abstract

    Due to the emerging demand on new multimedia applications, next generation wireless communication systems will need to support data rates much greater than 3G systems. This will require more efficient utilization of the radio resources. Relay and multiple input multiple-output (MIMO) techniques can significantly enhance system power efficiency, extend system coverage and are considered promising candidates for next generation wireless communication systems. In this paper, we study the zero-forcing (ZF) and minimum mean-squared error (MMSE) algorithms for a MIMO relay network and compare their performance in terms of bit-errorrate (BER). In particular, we show their performance in a single-user as well as in a multi-user scenario. Multiuser MIMO relay algorithms have significant performance improvement over single-user algorithms.

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