Robust multiuser detection based on probability constrained optimization of the MMSE receiver

Sergiu Vorobyov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The performance of multiuser detection (MUD) algorithms for code-division multiple-access (CDMA) systems depends on the accuracy of channel estimates. Such estimates are typically affected by errors, which can lead to significant degradation of the performance. In this paper, we develop a MUD technique which is based on probability constrained optimization of the minimum mean-square error (MMSE) multiuser receiver, and is robust against channel estimation errors. Its relationship to the recently proposed robust worst case optimization based MUD technique is established. The uncertainty parameter of the worst case based design is quantified in terms of the outage probability used in the probability constrained design and second-order statistics of the channel estimation errors. Simulation results demonstrate the potential of the proposed technique to outperform the existing robust techniques. ©2008 IEEE.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages2677-2680
Number of pages4
DOIs
Publication statusPublished - 2008
Event33rd IEEE International Conference on Acoustics, Speech and Signal Processing 2008 - Las Vegas, NV, USA, Las Vegas, United States
Duration: 30 Mar 20084 Apr 2008

Conference

Conference33rd IEEE International Conference on Acoustics, Speech and Signal Processing 2008
Abbreviated titleICASSP 2008
CountryUnited States
CityLas Vegas
Period30/03/084/04/08

Keywords

  • Code division multi-access
  • Multiuser channels
  • Optimization methods
  • Robustness
  • Signal detection

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  • Cite this

    Vorobyov, S. (2008). Robust multiuser detection based on probability constrained optimization of the MMSE receiver. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 2677-2680) https://doi.org/10.1109/ICASSP.2008.4518200