Ensemble properties of RVQ-based limited-feedback beamforming codebooks

Vasanthan Raghavan, Venugopal V. Veeravalli

Research output: Contribution to journalArticle

Abstract

The ensemble properties of random vector quantization (RVQ) codebooks for limited-feedback beamforming in multiinput multioutput (MIMO) systems are studied with the metrics of interest being the received SNR loss and mutual information loss, both relative to a perfect channel state information (CSI) benchmark. The simplest case of unskewed codebooks is first studied in the correlated MIMO setting and these loss metrics are computed as a function of the number of bits of feedback (B), transmit antenna dimension (Nt), and spatial correlation. In particular, it is established that: 1) the loss metrics are a product of two components - a quantization component and a channel-dependent component; 2) the quantization component, which is also common to analysis of channels with i.i.d. fading, decays as B increases at the rate 2-B/(Nt-1) ; 3) the channel-dependent component reflects the condition number of the channel. Further, the precise connection between the received SNR loss and the squared singular values of the channel is shown to be a Schur-convex majorization relationship. Finally, the ensemble properties of skewed codebooks that are generated by skewing RVQ codebooks with an appropriately designed fixed skewing matrix are studied. Based on an estimate of the loss expression for skewed codebooks, it is established that the structure of a good skewing matrix is critically dependent on the condition numbers of the effective channel (product of the true channel and the skewing matrix) and the skewing matrix.

Original languageEnglish (US)
Article number6612687
Pages (from-to)8224-8249
Number of pages26
JournalIEEE Transactions on Information Theory
Volume59
Issue number12
DOIs
StatePublished - Dec 2013

Keywords

  • Adaptive signaling
  • Beamforming
  • Information rates
  • Limited feedback
  • MIMO
  • Multiantenna systems
  • Precoding
  • Spatial correlation

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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