Minimum probability of error for asynchronous Gaussian multiple-access channels

  title={Minimum probability of error for asynchronous Gaussian multiple-access channels},
  author={Sergio Verd{\'u}},
  journal={IEEE Trans. Information Theory},
Ahstruct-Consider a Gaussian multiple-access channel shared by K users who transmit asynchronously independent data streams by modulating a set of assigned signal waveforms. The uncoded probability of error achievable by opt imum multiuser detectors is investigated. It is shown that the K-user maximum-likel ihood sequence detector consists of a bank of single-user matched filters followed by a Viterbi algorithm whose complexity per binary decision is O(2K). The upper bound analysis‘of this… CONTINUE READING
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  • Aug.
  • J. Viterbi and-J. K. Omura, Principles of Digital…
  • 1984
1 Excerpt

Performance bounds for Viterbi algorithms,

  • I. K. Omura
  • IEEE Int. Commun. Conf. Rec.,
  • 1981

Signal detection in multiple access channels,” U.S. Army Research Office Proposal (Contract DAAG29-81-K-0062 to Coordinated Science Laboratory

  • H. V. Poor
  • Univ. of Illinois),
  • 1980

Maximum likelihood receiver for multiple channel transmission systems,

  • W. Van Etten
  • IEEE Truns. Commun., vol
  • 1976


  • Mar.
  • .I. Foschini, “Performance bound for maximum…
  • 1973
1 Excerpt

Performance bounds for Viterbi algorithms , ” in 1981 IEEE Int

  • D. V. Sarwate Pursley, W. E. Stark
  • Combinatorial Optimization : Algorithms of…

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