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Fast blind MIMO decoding through vertex hopping

  • Stanford University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We present an algorithm that efficiently performs blind decoding of MIMO signals. That is, given no channel state information (CSI) at either the transmitter or the receiver, our algorithm takes a block of samples and returns an estimate of the underlying data symbols. In prior work, the problem of blind decoding was formulated as a non-convex optimization problem. In this paper, we present an algorithm that efficiently solves this non-convex problem in practical settings. This algorithm leverages the concepts of linear and mixed-integer linear programming. Empirically, we show that our technique has an error performance close to that of zero-forcing with perfect CSI at the receiver. Initial estimates of the run time of the algorithm presented in this paper suggest that the real-time blind decoding of MIMO signals is possible for even modest-sized MIMO systems.

Original languageEnglish
Article number8720191
Pages (from-to)3669-3682
Number of pages14
JournalIEEE Transactions on Wireless Communications
Volume18
Issue number7
DOIs
StatePublished - Jul 2019

Keywords

  • blind source separation
  • MIMO
  • multiuser detection
  • optimization

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