Diversity of MIMO Linear Precoding

This paper studies multiple-input multiple-output linear precoding in the high-signal-to-noise-ratio regime under flat fading. The diversity at all fixed rates is analyzed for a number of linear precoders. The diversity-multiplexing tradeoffs (DMTs) are also obtained, discovering that for many linea...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 60; H. 2; S. 1019 - 1038
Hauptverfasser:	Mehana, Ahmed Hesham, Nosratinia, Aria
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.02.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Antennas Applied sciences Coding, codes Data processing Detection, estimation, filtering, equalization, prediction diversity Equalization Error detection Exact sciences and technology Filtering Gain Information theory Information, signal and communications theory Input output Interference Manganese Matched filters Mean square errors MIMO MMSE Multiplexers Multiplexing precoder Receiving antennas Signal and communications theory Signal to noise ratio Signal, noise Spectra Telecommunications and information theory zero forcing Performance evaluation Fading Multiplexing MIMO system Wiener filtering Coding circuit precoder Equalization Optimization Mean square error Matched filter Medium frequency diversity zero forcing Coding MMSE MIMO Pretreatment Antenna Signal to noise ratio
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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Zusammenfassung:	This paper studies multiple-input multiple-output linear precoding in the high-signal-to-noise-ratio regime under flat fading. The diversity at all fixed rates is analyzed for a number of linear precoders. The diversity-multiplexing tradeoffs (DMTs) are also obtained, discovering that for many linear precoders the DMT gives no direct insight into the intricate behavior of fixed-rate diversity. The zero-forcing (ZF), regularized ZF, matched filtering, and Wiener filtering precoders are analyzed. It is shown that regularized ZF (RZF) or matched filter (MF) suffers from error floors for all positive multiplexing gains. However, in the fixed rate regime, RZF and MF precoding achieve full diversity for spectral efficiencies up to a certain threshold and zero diversity at rates above it. When the regularization parameter in the RZF is optimized in the minimum mean square error sense, the structure is known as the Wiener precoder, which in the fixed-rate regime is shown to have diversity that depends not only on the number of antennas, but also on the spectral efficiency. The diversity in the presence of both precoding and equalization is also analyzed.
Bibliographie:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	0018-9448 1557-9654
DOI:	10.1109/TIT.2013.2289860