Research Article
On Asymptotic Performance of Iterative Channel and Data Estimation in Large DS-CDMA Systems
@INPROCEEDINGS{10.1109/WIOPT.2009.5291596, author={Mikko Vehkaper\aa{} and Keigo Takeuchi and Ralf M\'{y}ller and Toshiyuki Tanaka}, title={On Asymptotic Performance of Iterative Channel and Data Estimation in Large DS-CDMA Systems}, proceedings={2nd International Workshop on Physics-Inspired Paradigms in Wireless Communications and Networks}, publisher={IEEE}, proceedings_a={PHYSCOMNET}, year={2009}, month={10}, keywords={}, doi={10.1109/WIOPT.2009.5291596} }- Mikko Vehkaperä
Keigo Takeuchi
Ralf Müller
Toshiyuki Tanaka
Year: 2009
On Asymptotic Performance of Iterative Channel and Data Estimation in Large DS-CDMA Systems
PHYSCOMNET
IEEE
DOI: 10.1109/WIOPT.2009.5291596
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). The 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.
