A Feedback Reduction Technique for MIMO Broadcast Channels

@article{Jindal2006AFR,
  title={A Feedback Reduction Technique for MIMO Broadcast Channels},
  author={Nihar Jindal},
  journal={2006 IEEE International Symposium on Information Theory},
  year={2006},
  pages={2699-2703}
}
  • N. Jindal
  • Published 16 March 2006
  • Computer Science, Business
  • 2006 IEEE International Symposium on Information Theory
A multiple antenna broadcast channel with perfect channel state information at the receivers is considered. If each receiver quantizes its channel knowledge to a finite number of bits which are fed back to the transmitter, the large capacity benefits of the downlink channel can be realized. However, the required number of feedback bits per mobile must be scaled with both the number of transmit antennas and the system SNR, and thus can be quite large in even moderately sized systems. It is shown… 

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References

SHOWING 1-10 OF 10 REFERENCES

MIMO Broadcast Channels With Finite-Rate Feedback

  • N. Jindal
  • Computer Science
    IEEE Transactions on Information Theory
  • 2005
A key finding is that the feedback rate per mobile must be increased linearly with the signal-to-noise ratio (SNR) (in decibels) in order to achieve the full multiplexing gain.

Dirty paper coding vs. TDMA for MIMO broadcast channels

  • N. JindalA. Goldsmith
  • Computer Science, Business
    2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577)
  • 2004
It is found that the sum-rate capacity (achievable using dirty-paper coding) of the multiple-antenna broadcast channel is at most min(M;K) times the largest single-user capacity in the system, where M is the number of transmit antennas and K is theNumber of receivers.

On beamforming with finite rate feedback in multiple-antenna systems

It is shown that good beamformers are good packings of two-dimensional subspaces in a 2t-dimensional real Grassmannian manifold with chordal distance as the metric.

Dirty-paper coding versus TDMA for MIMO Broadcast channels

The tightness of this bound in a time-varying channel where the channel experiences uncorrelated Rayleigh fading and in some situations the dirty paper gain is upper-bounded by the ratio of transmit-to-receive antennas is found.

Grassmannian beamforming for multiple-input multiple-output wireless systems

A codebook design method for quantized versions of maximum ratio transmission, equal gain transmission, and generalized selection diversity with maximum ratio combining at the receiver is presented and systems using the beamforming codebooks are shown to have a diversity order of the product of the number of transmit and thenumber of receive antennas.

On the achievable throughput of a multiantenna Gaussian broadcast channel

Under certain mild conditions, this scheme is found to be throughput-wise asymptotically optimal for both high and low signal-to-noise ratio (SNR), and some numerical results are provided for the ergodic throughput of the simplified zero-forcing scheme in independent Rayleigh fading.

Asymptotic capacity of beamforming with limited feedback

  • W. SantipachM. Honig
  • Computer Science
    International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.
  • 2004
It is shown that a random vector quantization scheme is asymptotically optimal, and a simple expression for the associated capacity is given.

Aspects of Multivariate Statistical Theory

  • R. Muirhead
  • Mathematics
    Wiley Series in Probability and Statistics
  • 1982
Tables. Commonly Used Notation. 1. The Multivariate Normal and Related Distributions. 2. Jacobians, Exterior Products, Kronecker Products, and Related Topics. 3. Samples from a Multivariate Normal

Handbook of Beta Distribution and Its Applications

What is the value of limited feedback for MIMO channels?

Performance results show that even a few bits of feedback can provide performance close to that with full channel knowledge at the transmitter.