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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Veröffentlicht in:IEEE transactions on signal processing Jg. 50; H. 5; S. 1051 - 1064
Hauptverfasser: Scaglione, A., Stoica, P., Barbarossa, S., Giannakis, G.B., Sampath, H.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.05.2002
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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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Beschreibung
Zusammenfassung: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.
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ISSN:1053-587X
1941-0476
DOI:10.1109/78.995062