Optimal designs for space-time linear precoders and decoders

We introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to simple closed-form solutions for transmission over frequency-selective multiple-input multiple-output (MIMO) channels, which are scalable with respect to the number of antenn...

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Vydané v:	IEEE transactions on signal processing Ročník 50; číslo 5; s. 1051 - 1064
Hlavní autori:	Scaglione, A., Stoica, P., Barbarossa, S., Giannakis, G.B., Sampath, H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.05.2002 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Applied sciences Channels Closed-form solution Coding Coding, codes Decoding Design engineering Errors Exact sciences and technology Fading Frequency Information rates Information, signal and communications theory Mathematical analysis Mean square error methods Mean square errors Mean square values MIMO Optimization Signal and communications theory Studies Symbols Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Transmitters Transmitting antennas Vectors Fading channels Performance evaluation MIMO system Multichannel transmission Coding Bit error rate System design Space time Optimization Digital transmission Mean square error
ISSN:	1053-587X, 1941-0476
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Abstract	We introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to simple closed-form solutions for transmission over frequency-selective multiple-input multiple-output (MIMO) channels, which are scalable with respect to the number of antennas, size of the coding block, and transmit average/peak power. The scheme operates as a block transmission system in which vectors of symbols are encoded and modulated through a linear mapping operating jointly in the space and time dimension. The specific designs target minimization of the symbol mean square error and the approximate maximization of the minimum distance between symbol hypotheses, under average and peak power constraints. The solutions are shown to convert the MIMO channel with memory into a set of parallel flat fading subchannels, regardless of the design criterion, while appropriate power/bits loading on the subchannels is the specific signature of the different designs. The proposed designs are compared in terms of various performance measures such as information rate, BER, and symbol mean square error.
AbstractList	We introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to simple closed-form solutions for transmission over frequency-selective multiple-input multiple-output (MIMO) channels, which are scalable with respect to the number of antennas, size of the coding block, and transmit average/peak power. The scheme operates as a block transmission system in which vectors of symbols are encoded and modulated through a linear mapping operating jointly in the space and time dimension. The specific designs target minimization of the symbol mean square error and the approximate maximization of the minimum distance between symbol hypotheses, under average and peak power constraints. The solutions are shown to convert the MIMO channel with memory into a set of parallel flat fading subchannels, regardless of the design criterion, while appropriate power/bits loading on the subchannels is the specific signature of the different designs. The proposed designs are compared in terms of various performance measures such as information rate, BER, and symbol mean square error. We introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to simple closed-form solutions for transmission over frequency-selective multiple-input multiple-output (MIMO) channels, which are scalable with respect to the number of antennas, size of the coding block, and transmit average/peak power. The scheme operates as a block transmission system in which vectors of symbols are encoded and modulated through a linear mapping operating jointly in the space and time dimension. The specific designs target minimization of the symbol mean square error and the approximate maximization of the minimum distance between symbol hypotheses, under average and peak power constraints. The solutions are shown to convert the MIMO channel with memory into a set of parallel flat fading subchannels, regardless of the design criterion, while appropriate power/bits loading on the subchannels is the specific signature of the different designs. The proposed designs are compared in terms of various performance measures such as information rate, BER, and symbol mean square error The specific designs target minimization of the symbol mean square error and the approximate maximization of the minimum distance between symbol hypotheses, under average and peak power constraints. In this paper, we introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to simple closed-form solutions for transmission over frequency-selective multiple-input multiple-output (MIMO) channels, which are scalable with respect to the number of antennas, size of the coding block, and transmit average/peak power. The scheme operates as a block transmission system in which vectors of symbols are encoded and modulated through a linear mapping operating jointly in the space and time dimension. The specific designs target minimization of the symbol mean square error and the approximate maximization of the minimum distance between symbol hypotheses, under average and peak power constraints. The solutions are shown to convert the MIMO channel with memory into a set of parallel flat fading subchannels, regardless of the design criterion, while appropriate power/bits loading on the subchannels is the specific signature of the different designs. The proposed designs are compared in terms of various performance measures such as information rate, BER, and symbol mean square error.
Author	Barbarossa, S. Giannakis, G.B. Sampath, H. Scaglione, A. Stoica, P.
Author_xml	– sequence: 1 givenname: A. surname: Scaglione fullname: Scaglione, A. organization: Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA – sequence: 2 givenname: P. surname: Stoica fullname: Stoica, P. – sequence: 3 givenname: S. surname: Barbarossa fullname: Barbarossa, S. – sequence: 4 givenname: G.B. surname: Giannakis fullname: Giannakis, G.B. – sequence: 5 givenname: H. surname: Sampath fullname: Sampath, H.
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Keywords	Fading channels Performance evaluation MIMO system Multichannel transmission Coding Bit error rate System design Space time Optimization Digital transmission Mean square error
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References	Benedetto (ref3) 1987 ref14 ref31 ref30 ref11 ref33 ref10 ref32 ref2 ref1 Kailath (ref13) 1980 ref17 ref16 ref19 ref18 Kay (ref15) 1993; 12 ref24 ref23 ref26 ref25 (ref7) 1998 ref22 Gallager (ref12) 1968 ref21 ref28 ref27 ref29 ref8 ref9 ref4 ref6 ref5 Sakoglu (ref20)
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Snippet	We introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to simple closed-form solutions for... The specific designs target minimization of the symbol mean square error and the approximate maximization of the minimum distance between symbol hypotheses,... In this paper, we introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to simple closed-form...
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SubjectTerms	Applied sciences Channels Closed-form solution Coding Coding, codes Decoding Design engineering Errors Exact sciences and technology Fading Frequency Information rates Information, signal and communications theory Mathematical analysis Mean square error methods Mean square errors Mean square values MIMO Optimization Signal and communications theory Studies Symbols Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Transmitters Transmitting antennas Vectors
Title	Optimal designs for space-time linear precoders and decoders
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