Opportunistic random beamforming with optimal precoding for spatially correlated channels

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

It has been shown recently that dirty paper coding (DPC) achieves optimum sum-rate capacity in a multi-antenna broadcast channel with full channel state (CSI) information at the transmitter. With only partial feedback, random beamforming (RBF) is able to match the sumrate of DPC for large number of users. However, in the presence of spatial correlation, RBF incurs an SNR hit as compared to DPC. In this letter, we explore precoding techniques to reduce the effect of correlation on RBF. We thus derive the optimum precoding matrix that minimizes the rate gap between DPC and RBF. Given the numerical complexity involved in calculating the optimum precoder, we derive approximate precoding matrices that are simple to calculate and close in performance to the optimum precoder.

Original languageEnglish (US)
Article number5601966
Pages (from-to)1041-1043
Number of pages3
JournalIEEE Communications Letters
Volume14
Issue number11
DOIs
StatePublished - Nov 1 2010

Keywords

  • DPC
  • Multiuser communications
  • channel correlation
  • precoding
  • random beamforming
  • scaling

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Opportunistic random beamforming with optimal precoding for spatially correlated channels'. Together they form a unique fingerprint.

Cite this