2nd International Workshop on Physics-Inspired Paradigms in Wireless Communications and Networks

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
Mikko Vehkaperä1,*, Keigo Takeuchi2,*, Ralf Müller1,*, Toshiyuki Tanaka3,*
  • 1: Depart. of Electr. and Telecomm., Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.
  • 2: Depart. of Inform. and Commun. Engineering, University of Electro-Communications, Tokyo 182-8585, Japan.
  • 3: Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan.
*Contact email: mikko@iet.ntnu.no, takeuchi@ice.uec.ac.jp, ralf@iet.ntnu.no, tt@i.kyoto-u.ac.jp

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.