Iterative channel estimation, detection, and decoding in large CDMA systems

Mikko Vehkaperä, Keigo Takeuchi, Ralf R. Müller, Toshiyuki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

The large system analysis of randomly spread direct-sequence code-division multiple-access systems operating over frequency-selective fading channels is considered. Iterative multiuser detection and decoding (MUDD) based on generalized posterior mean estimation and single-user sum-product decoding is assumed to be used at the receiver. The channel state information (CSI) at the MUDD is mismatched and obtained by a linear channel estimator whose initial decisions are iteratively refined with the help of information feedback provided by the MUDD. Furthermore, a new training method by means of probability-biased signaling is proposed. The results indicate that in the large system limit and under certain threshold loads, a near single-user performance with perfect CSI can be achieved using a vanishing training overhead. It is also found that for the considered setups, the iterative linear minimum mean square error based channel estimator is near optimal for relatively slowly time-varying multipath fading channels.

Original languageEnglish
Title of host publication6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages16-23
ISBN (Electronic)978-1-4244-6746-4, 978-1-4244-6745-7
ISBN (Print)978-1-4244-6744-0
DOIs
Publication statusPublished - 29 Nov 2010
MoE publication typeA4 Article in a conference publication
Event6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010 - Brest, France
Duration: 6 Sep 201010 Sep 2010

Publication series

SeriesInternational Symposium on Turbo Codes and Iterative Information Processing
Volume6
ISSN2165-4700

Conference

Conference6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010
CountryFrance
CityBrest
Period6/09/1010/09/10

Fingerprint

Channel Estimation
Code Division multiple Access
Channel estimation
Multiuser Detection
Code division multiple access
Multiuser detection
Decoding
Channel state information
Channel State Information
Fading Channels
Fading channels
Iterative Detection
Posterior Mean
Estimator
Frequency selective fading
Multipath fading
Minimum Mean Square Error
Multipath
Systems Analysis
Mean square error

Cite this

Vehkaperä, M., Takeuchi, K., Müller, R. R., & Tanaka, T. (2010). Iterative channel estimation, detection, and decoding in large CDMA systems. In 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010 (pp. 16-23). [5613863] IEEE Institute of Electrical and Electronic Engineers . International Symposium on Turbo Codes and Iterative Information Processing, Vol.. 6 https://doi.org/10.1109/ISTC.2010.5613863
Vehkaperä, Mikko ; Takeuchi, Keigo ; Müller, Ralf R. ; Tanaka, Toshiyuki. / Iterative channel estimation, detection, and decoding in large CDMA systems. 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010. IEEE Institute of Electrical and Electronic Engineers , 2010. pp. 16-23 (International Symposium on Turbo Codes and Iterative Information Processing, Vol. 6).
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abstract = "The large system analysis of randomly spread direct-sequence code-division multiple-access systems operating over frequency-selective fading channels is considered. Iterative multiuser detection and decoding (MUDD) based on generalized posterior mean estimation and single-user sum-product decoding is assumed to be used at the receiver. The channel state information (CSI) at the MUDD is mismatched and obtained by a linear channel estimator whose initial decisions are iteratively refined with the help of information feedback provided by the MUDD. Furthermore, a new training method by means of probability-biased signaling is proposed. The results indicate that in the large system limit and under certain threshold loads, a near single-user performance with perfect CSI can be achieved using a vanishing training overhead. It is also found that for the considered setups, the iterative linear minimum mean square error based channel estimator is near optimal for relatively slowly time-varying multipath fading channels.",
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Vehkaperä, M, Takeuchi, K, Müller, RR & Tanaka, T 2010, Iterative channel estimation, detection, and decoding in large CDMA systems. in 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010., 5613863, IEEE Institute of Electrical and Electronic Engineers , International Symposium on Turbo Codes and Iterative Information Processing, vol. 6, pp. 16-23, 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010, Brest, France, 6/09/10. https://doi.org/10.1109/ISTC.2010.5613863

Iterative channel estimation, detection, and decoding in large CDMA systems. / Vehkaperä, Mikko; Takeuchi, Keigo; Müller, Ralf R.; Tanaka, Toshiyuki.

6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010. IEEE Institute of Electrical and Electronic Engineers , 2010. p. 16-23 5613863 (International Symposium on Turbo Codes and Iterative Information Processing, Vol. 6).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Vehkaperä M, Takeuchi K, Müller RR, Tanaka T. Iterative channel estimation, detection, and decoding in large CDMA systems. In 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010. IEEE Institute of Electrical and Electronic Engineers . 2010. p. 16-23. 5613863. (International Symposium on Turbo Codes and Iterative Information Processing, Vol. 6). https://doi.org/10.1109/ISTC.2010.5613863