How much training is needed for iterative multiuser detection and decoding?

Mikko Vehkapera, Keigo Takeuchi, Ralf R. Mu, Toshiyuki Tanaka

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

1 Citation (Scopus)

Abstract

This paper studies large randomly spread direct-sequence code-division multiple-access system operating over a block fading multipath channel. Channel knowledge is obtained by a linear estimator whose initial decisions are iteratively refined by using a soft feedback from the single-user decoders. In addition to the traditional training symbol based signaling scheme, we study a novel method that utilizes a random bias in the symbol probabilities of the transmitted signal to construct the initial channel estimates. The numerical results suggest that in the large system limit, appropriate selection of the channel code and signaling method allows for successful communication with vanishing training overhead in overloaded systems if iterative channel and data estimation is performed at the receiver.

Original languageEnglish
Title of host publicationGLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
DOIs
Publication statusPublished - 1 Dec 2009
MoE publication typeA4 Article in a conference publication
Event2009 IEEE Global Telecommunications Conference, GLOBECOM 2009 - Honolulu, HI, United States
Duration: 30 Nov 20094 Dec 2009

Publication series

SeriesGlobecom
Volume2009
ISSN1930-529X

Conference

Conference2009 IEEE Global Telecommunications Conference, GLOBECOM 2009
CountryUnited States
CityHonolulu, HI
Period30/11/094/12/09

Fingerprint

Multiuser detection
Decoding
Multipath propagation
Code division multiple access
Feedback
Communication

Cite this

Vehkapera, M., Takeuchi, K., Mu, R. R., & Tanaka, T. (2009). How much training is needed for iterative multiuser detection and decoding? In GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference [5425652] Globecom, Vol.. 2009 https://doi.org/10.1109/GLOCOM.2009.5425652
Vehkapera, Mikko ; Takeuchi, Keigo ; Mu, Ralf R. ; Tanaka, Toshiyuki. / How much training is needed for iterative multiuser detection and decoding?. GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. 2009. (Globecom, Vol. 2009).
@inproceedings{0c37e7f194f848baba9fd04803e5bbf4,
title = "How much training is needed for iterative multiuser detection and decoding?",
abstract = "This paper studies large randomly spread direct-sequence code-division multiple-access system operating over a block fading multipath channel. Channel knowledge is obtained by a linear estimator whose initial decisions are iteratively refined by using a soft feedback from the single-user decoders. In addition to the traditional training symbol based signaling scheme, we study a novel method that utilizes a random bias in the symbol probabilities of the transmitted signal to construct the initial channel estimates. The numerical results suggest that in the large system limit, appropriate selection of the channel code and signaling method allows for successful communication with vanishing training overhead in overloaded systems if iterative channel and data estimation is performed at the receiver.",
author = "Mikko Vehkapera and Keigo Takeuchi and Mu, {Ralf R.} and Toshiyuki Tanaka",
year = "2009",
month = "12",
day = "1",
doi = "10.1109/GLOCOM.2009.5425652",
language = "English",
isbn = "978-1-4244-4148-8",
series = "Globecom",
publisher = "IEEE Institute of Electrical and Electronic Engineers",
booktitle = "GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference",

}

Vehkapera, M, Takeuchi, K, Mu, RR & Tanaka, T 2009, How much training is needed for iterative multiuser detection and decoding? in GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference., 5425652, Globecom, vol. 2009, 2009 IEEE Global Telecommunications Conference, GLOBECOM 2009, Honolulu, HI, United States, 30/11/09. https://doi.org/10.1109/GLOCOM.2009.5425652

How much training is needed for iterative multiuser detection and decoding? / Vehkapera, Mikko; Takeuchi, Keigo; Mu, Ralf R.; Tanaka, Toshiyuki.

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. 2009. 5425652 (Globecom, Vol. 2009).

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

TY - GEN

T1 - How much training is needed for iterative multiuser detection and decoding?

AU - Vehkapera, Mikko

AU - Takeuchi, Keigo

AU - Mu, Ralf R.

AU - Tanaka, Toshiyuki

PY - 2009/12/1

Y1 - 2009/12/1

N2 - This paper studies large randomly spread direct-sequence code-division multiple-access system operating over a block fading multipath channel. Channel knowledge is obtained by a linear estimator whose initial decisions are iteratively refined by using a soft feedback from the single-user decoders. In addition to the traditional training symbol based signaling scheme, we study a novel method that utilizes a random bias in the symbol probabilities of the transmitted signal to construct the initial channel estimates. The numerical results suggest that in the large system limit, appropriate selection of the channel code and signaling method allows for successful communication with vanishing training overhead in overloaded systems if iterative channel and data estimation is performed at the receiver.

AB - This paper studies large randomly spread direct-sequence code-division multiple-access system operating over a block fading multipath channel. Channel knowledge is obtained by a linear estimator whose initial decisions are iteratively refined by using a soft feedback from the single-user decoders. In addition to the traditional training symbol based signaling scheme, we study a novel method that utilizes a random bias in the symbol probabilities of the transmitted signal to construct the initial channel estimates. The numerical results suggest that in the large system limit, appropriate selection of the channel code and signaling method allows for successful communication with vanishing training overhead in overloaded systems if iterative channel and data estimation is performed at the receiver.

UR - http://www.scopus.com/inward/record.url?scp=77951529864&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2009.5425652

DO - 10.1109/GLOCOM.2009.5425652

M3 - Conference article in proceedings

AN - SCOPUS:77951529864

SN - 978-1-4244-4148-8

T3 - Globecom

BT - GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

ER -

Vehkapera M, Takeuchi K, Mu RR, Tanaka T. How much training is needed for iterative multiuser detection and decoding? In GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. 2009. 5425652. (Globecom, Vol. 2009). https://doi.org/10.1109/GLOCOM.2009.5425652