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

Chien Chun Cheng*, Yen Chih Chen, Yu-Ted Su, Hikmet Sari

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Pages540-544
Number of pages5
DOIs
StatePublished - 2 Nov 2012
Event2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012 - Cesme, Turkey
Duration: 17 Jun 201220 Jun 2012

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
CountryTurkey
CityCesme
Period17/06/1220/06/12

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  • Cite this

    Cheng, C. C., Chen, Y. C., Su, Y-T., & Sari, H. (2012). Model-based channel estimation and codeword selection for correlated MIMO channels. In 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012 (pp. 540-544). [6292967] (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). https://doi.org/10.1109/SPAWC.2012.6292967