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Proceedings ArticleDOI

Optimal limited feedback technique for small size and low rate MIMO systems

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TLDR
The proposed antenna selection method performs better than unitary precoding schemes (even optimal precoding) for systems with small number of transmitter and receiver antennas, although precoding techniques exploit more bits of feedback information and computational complexity than the proposed method.
Abstract
In recent investigations, several methods for limited feedback multiple-input multiple-output (MIMO) systems have been proposed. Antenna selection at the transmitter and(or) receiver side is one of the approaches to minimize the average probability of error by using a limited bits of feedback information. In this paper, by using a novel approach, we calculate the optimal signal-to-noise ratio (SNR) for each received symbol for a general space-time block code. We propose an antenna selection method at the transmitter to maximize the average SNR for each symbol. Since we propose the optimal selection, our antenna selection method outperforms antenna selection methods available in the literature for space-time codes with rate⪕ 1 symbol per channel use, derived either based on SNR or capacity maximization. The proposed selection performs better than unitary precoding schemes (even optimal precoding) for systems with small number of transmitter and receiver antennas (particularly for mobile systems), although precoding techniques exploit more bits of feedback information and computational complexity than the proposed method.

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Journal ArticleDOI

On the design, selection algorithm and performance analysis of limited feedback transmit beamforming

TL;DR: A codebook design method using the genetic algorithm is proposed, which reduces the design complexity and achieves large minimum-distance codebooks and the approximate BER of limited feedback beamforming is comparatively tight even for small size codebooks.
Proceedings ArticleDOI

Optimal Precoder for Rate⩽1 Space-Time Block Codes

TL;DR: This paper finds the optimal precoder for general space-time codes with rate⩽1 symbol per channel use by maximizing the signal-to-noise ratio (SNR) per received symbol, and proposes a general structure matrix rather than a unitary one for precoding.

Optimal Precoder for Rate1 Space-Time Block Codes

TL;DR: By maximizing the signal-to-noise ratio (SNR) per received symbol, the optimal precoder for general space-time codes with rate1 symbol per channel use is found by relaxing the precoder matrix from being unitary matrix to a general structure matrix.
References
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Proceedings ArticleDOI

Channel capacity and beamforming for multiple transmit and receive antennas with covariance feedback

TL;DR: The capacity of a narrowband point to point communication system employing multiple-element antenna arrays at both the transmitter and the receiver with covariance feedback is considered and the optimal transmit precoding strategy is determined to maximize the Shannon capacity.
Journal ArticleDOI

Limited feedback unitary precoding for orthogonal space-time block codes

TL;DR: This paper investigates a limited feedback approach that uses a codebook of precoding matrices known a priori to both the transmitter and receiver and the resulting design is found to relate to the famous applied mathematics problem of subspace packing in the Grassmann manifold.
Proceedings ArticleDOI

Selecting an optimal set of transmit antennas for a low rank matrix channel

TL;DR: A criterion for selecting an optimum set of transmit antennas is developed and it is shown that the judicious use of fewer transmit antennas when the channel matrix is ill-conditioned can increase system capacity.
Proceedings ArticleDOI

Antenna selection for spatial multiplexing systems based on minimum error rate

TL;DR: A criteria for selecting the optimal antenna subset in terms of minimum error rate, when coherent receivers, either linear or maximum likelihood (ML), are used over a slowly varying channel.
Journal ArticleDOI

Order Statistics and their Use in Testing and Estimation. Volume 2. Estimates Based on Order Statistics of Samples from Various Populations.

H. Leon Harter
- 01 Dec 1970 - 
TL;DR: In this article, the expected values of order statistics of samples from different populations were derived for different populations related to the exponential growth of the population, and the results of Monte Carlo studies of ML Estimators from Doubly Censored Samples were presented.
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