DocumentCode
1196117
Title
Uniform channel decomposition for MIMO communications
Author
Jiang, Yi ; Li, Jian ; Hager, William W.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
Volume
53
Issue
11
fYear
2005
Firstpage
4283
Lastpage
4294
Abstract
Assuming the availability of the channel state information at the transmitter (CSIT) and receiver (CSIR), we consider the joint optimal transceiver design for multi-input multi-output (MIMO) communication systems. Using the geometric mean decomposition (GMD), we propose a transceiver design that can decompose, in a strictly capacity lossless manner, a MIMO channel into multiple subchannels with identical capacities. This uniform channel decomposition (UCD) scheme has two implementation forms. One is the combination of a linear precoder and a minimum mean-squared-error VBLAST (MMSE-VBLAST) detector, which is referred to as UCD-VBLAST, and the other includes a dirty paper (DP) precoder and a linear equalizer followed by a DP decoder, which we refer to as UCD-DP. The UCD scheme can provide much convenience for the modulation/demodulation and coding/decoding procedures due to obviating the need for bit allocation. We also show that UCD can achieve the maximal diversity gain. The simulation results show that the UCD scheme exhibits excellent performance, even without the use of any error correcting codes.
Keywords
MIMO systems; channel capacity; channel coding; decoding; diversity reception; equalisers; least mean squares methods; linear codes; space-time codes; transceivers; MIMO communications; bit allocation; channel identical capacity; channel state information; decoder; dirty paper precoder; geometric mean decomposition; joint optimal transceiver design; linear equalizer; linear precoder; maximal diversity gain; minimum mean-squared-error VBLAST detector; multiinput multioutput communication systems; multiple subchannels; receiver; transmitter; uniform channel decomposition; vertical Bell Labs layered space time; Channel state information; Decoding; Demodulation; Detectors; Equalizers; MIMO; Modulation coding; Transceivers; Transmitters; User centered design; Channel capacity; DBLAST; MIMO; VBLAST; dirty paper precoder; diversity gain; geometric mean decomposition; joint transceiver design; minimum mean-squared-error; water filling;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2005.857052
Filename
1519695
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