• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Detection Techniques for MIMO Multiplexing: A Comparative Review

Vol. 3, No.6, December 30, 2009
10.3837/tiis.2009.06.005, Download Paper (Free):

Abstract

Multiple-input multiple-output (MIMO) multiplexing is an attractive technology that increases the channel capacity without requiring additional spectral resources. The design of low complexity and high performance detection algorithms capable of accurately demultiplexing the transmitted signals is challenging. In this technical survey, we introduce the state-of-the-art MIMO detection techniques. These techniques are divided into three categories, viz. linear detection (LD), decision-feedback detection (DFD), and tree-search detection (TSD). Also, we introduce the lattice basis reduction techniques that obtain a more orthogonal channel matrix over which the detection is done. Detailed discussions on the advantages and drawbacks of each detection algorithm are also introduced. Furthermore, several recent author contributions related to MIMO detection are revisited throughout this survey.


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Cite this article

[IEEE Style]
Manar Mohaisen, Hongsun An and KyungHi Chang, "Detection Techniques for MIMO Multiplexing: A Comparative Review," KSII Transactions on Internet and Information Systems, vol. 3, no. 6, pp. 647-666, 2009. DOI: 10.3837/tiis.2009.06.005

[ACM Style]
Mohaisen, M., An, H., and Chang, K. 2009. Detection Techniques for MIMO Multiplexing: A Comparative Review. KSII Transactions on Internet and Information Systems, 3, 6, (2009), 647-666. DOI: 10.3837/tiis.2009.06.005