Semidefinite Programming Relaxation Based Virtually Antipodal Detection for MIMO Systems Using Gray-Coded High-Order QAM

An efficient generalized semidefinite programming relaxation (SDPR) based virtually antipodal (VA) detection approach is proposed for Gray-coded high-order rectangular quadrature-amplitude modulation (QAM) signaling over multiple-input-multiple-output (MIMO) channels. The decomposition of symbol-bas...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 62; H. 4; S. 1667 - 1677
Hauptverfasser:	Shaoshi Yang, Tiejun Lv, Hanzo, L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.05.2013 Institute of Electrical and Electronics Engineers
Schlagworte:	Applied sciences Binary-constrained quadratic programming Coding, codes Complexity theory Detectors Exact sciences and technology Gray mapping high-order quadrature-amplitude modulation (QAM) Indexes Information, signal and communications theory MIMO Modulation, demodulation primal-dual interior-point algorithm (PD-IPA) Quadrature amplitude modulation semidefinite programming relaxation (SDPR) Signal and communications theory Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Vectors virtually antipodal (VA) detection Performance evaluation Gray code Quadrature amplitude modulation Bit error rate Worst case method Mapping Flexibility Relaxation virtually antipodal (VA) detection MIMO system primal-dual interior-point algorithm (PD-IPA) Bit flipping Measurement sensor Interior point method high-order quadrature-amplitude modulation (QAM) Gray mapping Quadratic programming Signalling Algorithm Symbol detection Direct detection semidefinite programming relaxation (SDPR) Binary-constrained quadratic programming Primal dual method Error correction
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
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