Multiuser detection via compressive sensing

Byonghyo Shim, Byungkwen Song

Research output: Contribution to journalArticlepeer-review

104 Citations (Scopus)


In this paper, we consider a multiuser detection technique when the signal sparsity is changing over time. The key ingredient of our method is a clever switching between the CS reconstruction algorithm and classical detection depending on the sparsity level of the signals being detected. Since none of these approaches is uniformly better in a situation where the sparsity level is varying, proposed switching algorithm can effectively combine the merits of both. We show that the proposed switching algorithm provides substantial performance gain over individual algorithms in the multiuser detection of CDMA downlink.

Original languageEnglish
Article number6196146
Pages (from-to)972-974
Number of pages3
JournalIEEE Communications Letters
Issue number7
Publication statusPublished - 2012


  • Compressive sensing
  • multiuser detection
  • orthogonal matching pursuit
  • sparsity

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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