DocumentCode :
1049213
Title :
Diversity–Multiplexing Tradeoff in ISI Channels
Author :
Grokop, Leonard H. ; Tse, David N C
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA
Volume :
55
Issue :
1
fYear :
2009
Firstpage :
109
Lastpage :
135
Abstract :
The optimal diversity-multiplexing tradeoff curve for the intersymbol interference (ISI) channel is computed and various equalizers are analyzed using this performance metric. Maximum-likelihood signal decoding (MLSD) and decision feedback equalization (DFE) equalizers achieve the optimal tradeoff without coding, but zero forcing (ZF) and minimum mean-square-error (MMSE) equalizers do not. However if each transmission block is ended with a period of silence lasting the coherence time of the channel, both ZF and MMSE equalizers become diversity-multiplexing optimal. This suggests that the bulk of the performance gain obtained by replacing linear decoders with computationally intensive ones such as orthogonal frequency-division multiplexing (OFDM) or Viterbi, can be realized in much simpler fashion-with a small modification to the transmit scheme.
Keywords :
OFDM modulation; diversity reception; equalisers; feedback; intersymbol interference; least mean squares methods; maximum likelihood decoding; Viterbi decoders; decision feedback equalization equalizers; diversity-multiplexing tradeoff curve; intersymbol interference channel; linear decoders; maximum-likelihood signal decoding; minimum mean-square-error equalizers; orthogonal frequency-division multiplexing; zero forcing equalisation; Decision feedback equalizers; Error probability; Fading; Frequency division multiplexing; Intersymbol interference; Maximum likelihood decoding; Maximum likelihood estimation; Measurement; Performance analysis; Performance gain; Decision feedback equalization (DFE); diversity–multiplexing tradeoff; intersymbol interference (ISI); maximum-likelihood sequence estimation; minimum mean-square-error (MMSE) equalization; zero-forcing (ZF) equalization;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2008.2008120
Filename :
4729766
Link To Document :
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