Compressive feedback based on sparse approximation for multiuser MIMO systems

Hyungjoon Song, Woohyun Seo, Daesik Hong

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


In multiuser multiple-inputmultiple-output (MU-MIMO) systems, limited feedback schemes using a vector quantization codebook (VQC) for partial channel state information (CSI) can enable a base station (BS) to enhance the sum throughput at low feedback rates. However, the VQC has a limited throughput gain, although it requires a great deal of memory and complexity as the feedback rate increases. Therefore, we propose a high-precision feedback technique by using sparse approximation and compression called compressive feedback (CF). By using the sparse approximation with a unitary codebook and the compression via a good compression matrix, CF achieves greater sum throughput than VQC. Our analysis of the maximum achievable sum rate verifies the superiority of CF over VQC.

Original languageEnglish
Article number5299071
Pages (from-to)1017-1023
Number of pages7
JournalIEEE Transactions on Vehicular Technology
Issue number2
Publication statusPublished - 2010 Feb

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


Dive into the research topics of 'Compressive feedback based on sparse approximation for multiuser MIMO systems'. Together they form a unique fingerprint.

Cite this