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

Authors:
Mikko Vehkaperi;Keigo Takeuchi;Ralf R. Miller;Toshiyuki Tanaka
Affiliations:
Depart. of Electr. and Telecomm., Norwegian University of Science and Technology, Trondheim, Norway;Depart. of Inform. and Commun. Engineering, University of Electro-Communications, Tokyo, Japan;Depart. of Electr. and Telecomm., Norwegian University of Science and Technology, Trondheim, Norway;Graduate School of Informatics, Kyoto University, Kyoto, Japan
Venue:
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Year:
2009

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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.