On asymptotic performance of iterative channel and data estimation in large DS-CDMA systems

Author

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

Author_Institution

Depart. of Electr. & Telecomm., Norwegian Univ. of Sci. & Technol., Trondheim, Norway

fYear

2009

fDate

23-27 June 2009

Firstpage

1

Lastpage

5

Abstract

We study the spectral efficiency of large random direct-sequence code-division multiple-access systems utilizing linear minimum mean square error (LMMSE) channel estimation and iterative multiuser detection and decoding (MUDD). Iterative MUDD based on non-linear data estimation and single-user decoding is considered as a benchmark for the more practical iterative LMMSE data estimator with soft parallel interference cancellation. The results showed that the channel parameters and the choice of error correction code have a great impact on the achievable spectral efficiency. It was also found that for the considered setups, the iterative LMMSE based channel estimator is near optimal for slowly time-varying multipath fading channels.

Keywords

channel coding; code division multiple access; fading channels; iterative decoding; least mean squares methods; multipath channels; multiuser detection; spread spectrum communication; time-varying channels; DS-CDMA system; asymptotic iterative channel performance; channel estimation; iterative multiuser decoding; iterative multiuser detection; linear minimum mean square error; nonlinear data estimation; random direct-sequence code-division multiple-access system; time-varying multipath fading channel; Error correction; Error correction codes; Fading; Feedback; Interference cancellation; Iterative decoding; Mean square error methods; Multiaccess communication; Multiuser detection; Physics;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009. WiOPT 2009. 7th International Symposium on

Conference_Location

Seoul

Print_ISBN

978-1-4244-4919-4

Electronic_ISBN

978-1-4244-4920-0

Type

conf

DOI

10.1109/WIOPT.2009.5291596

Filename

5291596