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Model-based channel estimation and codeword selection for correlated MIMO channels

Abstract : For a closed loop MIMO system to provide outstanding performance, the receiver needs to feedback accurate channel state information, which in turn requires a large codebook size. In this paper, we present a new codeword selection scheme based on a model-based channel estimator. Our scheme performs simultaneous channel estimation and codeword selection by exploiting the structures of the associated MIMO spatial channel and the codebook used. For a DFT-based codebook with arbitrary size, only a quantization operation is needed to select a proper codeword in a correlated fading environment. Using industry-approved standard channel models in simulating the system performance, we show that our low-complexity codeword selection scheme does outperform the scheme based on the conventional least-square estimator.
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https://hal-supelec.archives-ouvertes.fr/hal-00746824
Contributor : Catherine Magnet <>
Submitted on : Monday, October 29, 2012 - 5:31:09 PM
Last modification on : Thursday, March 29, 2018 - 11:06:05 AM

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Chien-Chun Cheng, Yen-Chih Chen, Y.T. Su, Hikmet Sari. Model-based channel estimation and codeword selection for correlated MIMO channels. 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Jun 2012, Cesme, Turkey. pp.540 - 544, ⟨10.1109/SPAWC.2012.6292967⟩. ⟨hal-00746824⟩

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