Efficient tracking of eigenspaces and its application to eigenbeamforming

Michalke, Clemens; Stege, M.; Schäfer, Franziska; Fettweis, Gerhard

doi:10.1109/pimrc.2003.1259265

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…Jacobi tracking takes advantage of this temporal correlation of eigenvectors to update the eigenvector matrices by using rotation matrices. This is done at the receiver by pre-multiplying the matrix H(k) H H(k) by the outdated eigenvector matrix V H (k − 1) as described in [13]. The focus of this paper is to use the pre-multiplication based Jacobi tracking not only at the receiver but also at the transmitter for efficient feedback re-construction.…”

Section: Cyclic Jacobi Tracking For Feedbackmentioning

confidence: 99%

“…The focus of this paper is to use the pre-multiplication based Jacobi tracking not only at the receiver but also at the transmitter for efficient feedback re-construction. Therefore, the quantized outdated eigenvector matrixV(k − 1) must be used for pre-multiplication instead of the unquantized version V(k − 1) used in [13]. Cyclic Jacobi tracking based on quantized pre-multiplication is described as follows.…”

Section: Cyclic Jacobi Tracking For Feedbackmentioning

confidence: 99%

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A reduced quantization range feedback method for time-varying MIMO systems

Godana

Ekman

2011

2011 7th International Wireless Communications and Mobile Computing Conference

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MIMO systems benefit from spatial multiplexing when channel state information (CSI) is available at the transmitter. Givens decomposition of unitary matrices can be used to feedback the eigenvectors of the channel in an efficient way. Several Givens parametrization based quantization methods had been suggested in recent years. In this paper, a simple feedback method that exploits the temporal correlation of the channel is proposed for slowly time-varying MIMO channels based on cyclic Jacobi tracking. The proposed method applies only one Jacobi sweep thus avoiding the need for Givens decomposition. Jacobi solutions are then combined with a novel sign shifting method that reduces the quantization range of one of the parameters by 70%. For uniform quantization and an N × M MIMO channel, the proposed method saves approximately M 2 − M feedback bits as compared to the state of the art Givens decomposition based methods without a significant decrease in performance. This is shown by a simulation on 4 × 4 time-varying MIMO channel. It is observed that the capacity penalty of using only one Jacobi sweep is insignificant for highly correlated channels.

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Section: Cyclic Jacobi Tracking For Feedbackmentioning

confidence: 99%

Section: Cyclic Jacobi Tracking For Feedbackmentioning

confidence: 99%

A reduced quantization range feedback method for time-varying MIMO systems

Godana

Ekman

2011

2011 7th International Wireless Communications and Mobile Computing Conference

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“…Moreover, the SVD involves complex calculation tasks, which requires powerful signal processors. Some sub-optimal versions of the SVD method have been presented in the literature [81] in order to reduce complexity. Also, other sub-optimal methods have been proposed [82] that make use of CSI at the transmitter.…”

Section: Classification Of Mimo Techniquesmentioning

confidence: 99%

Contribution to the characterization and evaluation of multiple antenna systems for communications: prototyping, propagation and antenna perspective

García¹

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The advent of new services and applications in mobile and wireless communications, most of them based on high data rates, is helping to reactivate the Telecommunication market.Moreover, current trends seem to point towards the preference for wireless connections to Internet instead of the traditional wired ones, towards the growing of data exchanges (for example with web 2.0 and peer-to-peer applications) and towards the exponential increase in the number of devices connected to Internet (as in the proposed future "Internet of things"). A clear consequence of all these trends is the significant increase in data rate requirements for wireless and mobile communications. As a result, research on new techniques that allow to increase data rate and system performance has been boosted by the market needs.Having intensively utilized frequency, time and even code diversity resources, spatial diversity offered by the radio channel has been proposed as an alternate method of great interest to be exploited. Advances in signal processing platforms have improved the computational capacities in digital signal processing, opening new options for signal processing for antenna arrays. The main objective of this thesis has been to investigate the possibilities for radiocommunication systems that are based on the use of multiple antennas to take advantage of the available spatial diversity in the channel. Moreover, current open issues and problems that prevent multi-antenna systems from being widely adopted have been thoroughly analysed, with special emphasis on real implementation issues. Novel approaches to evaluate multi-antenna systems have been proposed, and results regarding real prototypes have been presented and discussed.

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Design of an SVD engine for 8×8 MIMO precoding systems

Liu

Tsai

2017

2017 IEEE International Symposium on Circuits and Systems (ISCAS)

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Efficient tracking of eigenspaces and its application to eigenbeamforming

Cited by 9 publications

References 14 publications

A reduced quantization range feedback method for time-varying MIMO systems

A reduced quantization range feedback method for time-varying MIMO systems

Contribution to the characterization and evaluation of multiple antenna systems for communications: prototyping, propagation and antenna perspective

Design of an SVD engine for 8×8 MIMO precoding systems

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