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Performance analysis of MIMO wireless with spatially-correlated channels. Part II. Separate-decoding

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5 Author(s)
Chao-Kai Wen ; Dept. of Commun. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Yao-Nan Lee, Y.-N. ; Jiunn-Tsair Chen ; Papadias, C.
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For pt.I, see ibid., p.3504-8 (2004). In Part I of this paper, we analyzed the asymptotic mutual information of the joint-decoding MIMO systems. Here in Part II, we focus on the performance analysis of the MIMO systems with various separate decoding schemes, i.e., with various suboptimum spatial equalizers followed by a bank of temporal decoders. Among the suboptimum spatial equalizers, under the proposed framework, we cover both 1) linear spatial equalizers such as linear MMSE spatial equalizer, linear zero-forcing spatial equalizer, and matched-filter equalizer, and 2) nonlinear spatial equalizers such as individually optimal spatial equalizer and marginal optimal spatial equalizer. Closed-form solutions are derived for all the possible combinations of 1) various transmit-side arbitrary input distributions and 2) the receive-side decoding schemes listed above. Important physical meanings revealed though the closed-form solutions to those more practical combinations, as how the input-output mutual information is affected by the transmit-side and the receive-side channel spatial correlations, are highlighted along our derivation.

Published in:

Communications, 2004 IEEE International Conference on  (Volume:6 )

Date of Conference:

20-24 June 2004