Multiuser MIMO achievable rates with downlink training and channel state feedback

Giuseppe Caire, Nihar Jindal, Mari Kobayashi, Niranjay Ravindran

Research output: Contribution to journalArticlepeer-review

478 Scopus citations

Abstract

In this paper, we consider a multiple-input-multipleoutput (MIMO) fading broadcast channel and compute achievable ergodic rates when channel state information (CSI) is acquired at the receivers via downlink training and it is provided to the transmitter by channel state feedback. Unquantized (analog) and quantized (digital) channel state feedback schemes are analyzed and compared under various assumptions. Digital feedback is shown to be potentially superior when the feedback channel uses per channel state coefficient is larger than 1. Also, we show that by proper design of the digital feedback link, errors in the feedback have a minor effect even if simple uncoded modulation is used on the feedback channel.We discuss first the case of an unfaded additive white Gaussian noise (AWGN) feedback channel with orthogonal access and then the case of fading MIMO multiple access (MIMO-MAC). We show that by exploiting the MIMO-MAC nature of the uplink channel, a much better scaling of the feedback channel resource with the number of base station (BS) antennas can be achieved. Finally, for the case of delayed feedback, we show that in the realistic case where the fading process has (normalized) maximum Doppler frequency shift 0 ≤ F < 1/2, a fraction 1 - 2F of the optimal multiplexing gain is achievable. The general conclusion of this work is that very significant downlink throughput is achievable with simple and efficient channel state feedback, provided that the feedback link is properly designed.

Original languageEnglish
Article number2046225
Pages (from-to)2845-2866
Number of pages22
JournalIEEE Transactions on Information Theory
Volume56
Issue number6
DOIs
StatePublished - Jun 2010
Externally publishedYes

Keywords

  • Channel state feedback
  • MIMO broadcast channel
  • MIMO downlink
  • Training capacity

Fingerprint

Dive into the research topics of 'Multiuser MIMO achievable rates with downlink training and channel state feedback'. Together they form a unique fingerprint.

Cite this