Semidefinite Programming Relaxation Based Virtually Antipodal Detection for Gray Coded 16-QAM MIMO Signalling

An efficient semidefinite programming relaxation (SDPR) based virtually antipodal (VA) detection approach is proposed for Gray coded 16-QAM signalling over multiple-input--multiple-output (MIMO) channels. The existing index-bit-based VA-SDPR (IVA-SDPR) method is incapable of making direct binary dec...

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Bibliographic Details
Published in:2011 IEEE Global Telecommunications Conference - GLOBECOM 2011 pp. 1 - 5
Main Authors: Shaoshi Yang, Hanzo, L.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2011
Subjects:
Bit error rate
Complexity theory
Detectors
MIMO
Quadrature amplitude modulation
Signal to noise ratio
Vectors
ISBN:9781424492664, 1424492661
ISSN:1930-529X
Online Access:Get full text
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Summary:An efficient semidefinite programming relaxation (SDPR) based virtually antipodal (VA) detection approach is proposed for Gray coded 16-QAM signalling over multiple-input--multiple-output (MIMO) channels. The existing index-bit-based VA-SDPR (IVA-SDPR) method is incapable of making direct binary decisions concerning the individual information bits without making symbol decisions first, except for the linear natural-mapping aided rectangular QAM constellations. By contrast, our new method is capable of directly deciding on the information bits of the ubiquitous Gray-mapping aided 16-QAM by employing a strikingly simple linear matrix representation (LMR) of 4-QAM. As an appealing benefit, the conventional "signal-to-symbol-to-bits'' decision process is substituted by a simpler "signal-to-bits'' decision process for the classic Gray-mapping aided rectangular 16-QAM. Furthermore, when combined with low-complexity bit-flipping based "hill climbing'', the proposed direct-bit-based VA-SDPR (DVA-SDPR) detector achieves the best bit-error-ratio (BER) performance among the known SDPR-based MIMO detectors in the context considered, while still maintaining a worst-case complexity order as low as O[(4N T +1) 3.5 ].
ISBN:9781424492664
1424492661
ISSN:1930-529X
DOI:10.1109/GLOCOM.2011.6134531