Limited feedback vector perturbation precoding by MinMax optimization

Christos Masouros, Mathini Sellathurai, Tharmalingam Ratnarajah

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

Abstract

A vector perturbation (VP) scheme is proposed for the downlink of multi-user multiple input multiple output (MU-MIMO) systems with limited feedback. Instead of a computationally expensive sphere search used in conventional VP, the proposed scheme uses a MinMax Optimization to select the perturbation quantities. In addition, the proposed VP circumvents the need for receive-scaling by constraining the search of perturbing vectors to the area in the symbol constellation which is constrictive to the information symbols, i.e. the area where the distances from the decision thresholds are increased with respect to a distance threshold. Consequently, while conventional VP requires the feed-forwarding of the scaling factor to the receiver for correct detection, the proposed scheme does not require the scaling of the received symbols. This advantage is particularly pronounced in limited feedback scenarios where the scaling factors forwarded to the receiver are prone to quantization errors. As illustrated by the results, the error floor encountered in conventional VP in limited feedback scenarios is avoided in the proposed scheme.

Original languageEnglish
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3349-3353
Number of pages5
ISBN (Print)9781479935116
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United Kingdom
Duration: 8 Dec 201412 Dec 2014

Conference

Conference2014 IEEE Global Communications Conference, GLOBECOM 2014
Country/TerritoryUnited Kingdom
CityAustin
Period8/12/1412/12/14

Keywords

  • limited feedback
  • multiuser MIMO
  • non-linear precoding
  • Vector perturbation

Fingerprint

Dive into the research topics of 'Limited feedback vector perturbation precoding by MinMax optimization'. Together they form a unique fingerprint.

Cite this