Isotropic fading vector broadcast channels: The scalar upper bound and loss in degrees of freedom

Syed Ali Jafar, Andrea J. Goldsmith

Research output: Contribution to journalArticlepeer-review

108 Scopus citations

Abstract

We propose a scalar upper bound on the capacity region of the isotropic fading vector broadcast channel in terms of the capacity region of a scalar fading broadcast channel. The scalar upper bound is applicable to the broad class of isotropic fading broadcast channels regardless of the distribution of the users' channel magnitudes, the distribution of the additive noise experienced by each user, or the amount of channel knowledge available at the receiver. Using this upper bound, we prove the optimality of the Alamouti scheme in a broadcast setting, extend the recent results on the capacity of nondegraded, fading scalar broadcast channels to nondegraded fading vector broadcast channels, and determine the capacity region of a fading vector Gaussian broadcast channel with channel magnitude feedback. We also provide an example of a Rayleigh-fading broadcast channel with no channel state information available to the receiver (CSIR), where the bound on the capacity region obtained by a naive application of the scalar upper bound is provably loose, because it fails to account for the additional loss in degrees of freedom due to lack of channel knowledge at the receiver. A tighter upper bound is obtained by separately accounting for the loss in degrees of freedom due to lack of CSIR before applying the scalar upper bound.

Original languageEnglish (US)
Pages (from-to)848-857
Number of pages10
JournalIEEE Transactions on Information Theory
Volume51
Issue number3
DOIs
StatePublished - Mar 2005
Externally publishedYes

All Science Journal Classification (ASJC) codes

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

Keywords

  • Broadcast channel
  • Channel capacity
  • Channel state information
  • Degrees of freedom
  • Fading channels
  • Multiple antennas

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