Proceedings ArticleDOI
Asymptotic performance of MIMO wireless channels with limited feedback
Wiroonsak Santipach,Michael L. Honig +1 more
- Vol. 1, pp 141-146
TLDR
This work considers a single-user, point-to-point communication system with M transmit and N receive antennas with independent flat Rayleigh fading between antenna pairs, and shows how much feedback is needed to achieve a rate, which is close to the capacity with perfect channel knowledge at the transmitter.Abstract:
We consider a single-user, point-to-point communication system with M transmit and N receive antennas with independent flat Rayleigh fading between antenna pairs. The mutual information of the multi-input/multi-output (MlMO) channel is maximized when the transmitted symbol vector is a Gaussian random vector with covariance matrix Q. The optimal Q depends on how much channel state information is available at the transmitter. Namely, in the absence of any channel state information, the optimal Q is full-rank and isotropic, whereas with perfect channel knowledge, the optimal Q has columns which are the eigenvectors of the channel, and has rank at most min {M, N}. We assume that the receiver can feed back B bits to the transmitter (per codeword). The feedback bits are used to choose the columns of Q from a random set of i.i.d. vectors. We compute the mutual information as a function of both B and the rank of Q. Our results are asymptotic in the number of antennas, and show how much feedback is needed to achieve a rate, which is close to the capacity with perfect channel knowledge at the transmitter.read more
Citations
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Journal ArticleDOI
An overview of limited feedback in wireless communication systems
David J. Love,Robert W. Heath,Vincent K. N. Lau,David Gesbert,Bhaskar D. Rao,Matthew Andrews +5 more
TL;DR: This tutorial provides a broad look at the field of limited feedback wireless communications, and reviews work in systems using various combinations of single antenna, multiple antenna, narrowband, broadband, single-user, and multiuser technology.
Journal ArticleDOI
Limited feedback unitary precoding for spatial multiplexing systems
David J. Love,Robert W. Heath +1 more
TL;DR: This correspondence proposes a quantized precoding system where the optimal precoder is chosen from a finite codebook known to both receiver and transmitter and performs close to optimal unitary precoding with a minimal amount of feedback.
Journal ArticleDOI
What is the value of limited feedback for MIMO channels
TL;DR: Performance results show that even a few bits of feedback can provide performance close to that with full channel knowledge at the transmitter.
Journal ArticleDOI
On the performance of random vector quantization limited feedback beamforming in a MISO system
Chun Kin Au-Yeung,David J. Love +1 more
TL;DR: This correspondence presents performance analysis results for Random vector quantization limited feedback beamforming.
Journal ArticleDOI
Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach
June Chul Roh,Bhaskar D. Rao +1 more
TL;DR: A new quantizer design criterion for capacity maximization is proposed and the corresponding iterative vector quantization (VQ) design algorithm is developed and supported by computer simulations.
References
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Capacity of Multi‐antenna Gaussian Channels
TL;DR: In this paper, the authors investigate the use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading, and derive formulas for the capacities and error exponents of such channels, and describe computational procedures to evaluate such formulas.
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On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
G. J. Foschini,M. J. Gans +1 more
TL;DR: In this article, the authors examined the performance of using multi-element array (MEA) technology to improve the bit-rate of digital wireless communications and showed that with high probability extraordinary capacity is available.
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The Asymptotic Theory of Extreme Order Statistics
TL;DR: In this paper, the authors analyze the recent development of the theory of the asymptotic distribution of extremes in the light of the questions (i) and (ii). Several dependence concepts will be introduced, each of which leads to a solution of (i).
Book
The asymptotic theory of extreme order statistics
TL;DR: In this article, the authors analyze the recent development of the theory of the asymptotic distribution of extremes in the light of the questions (i) and (ii). Several dependence concepts will be introduced, each of which leads to a solution of (i).
Journal ArticleDOI
Grassmannian beamforming for multiple-input multiple-output wireless systems
TL;DR: A quantized maximum signal-to-noise ratio (SNR) beamforming technique is proposed where the receiver only sends the label of the best beamforming vector in a predetermined codebook to the transmitter.