Quantized transmit beamforming with antenna selection in a MIMO channel

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Quantized transmit beamforming with antenna selection in a MIMO channel

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International Conference On Communications And Mobile Computing archive
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly table of contents

Leipzig, Germany

SESSION: MIMO systems II (MIMO Systems symposium) table of contents

Pages 1238-1242

Year of Publication: 2009

ISBN:978-1-60558-569-7

Author

Wiroonsak Santipach

Kasetsart University, Bangkok, Thailand

Sponsors

ACM: Association for Computing Machinery
: Wiley-Blackwell

Publisher

ACM New York, NY, USA

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ABSTRACT

For a point-to-point multi-input multi-output (MIMO) wireless channel, we propose a feedback scheme, which consists of transmit-antenna selection algorithm and beamforming quantization. A feedback, which is relayed from a receiver to a transmitter via a feedback channel, specifies a set of active transmit antennas and associated beamforming vector, which contains transmit antenna coefficients. Assuming perfect channel knowledge, the receiver selects the set of transmit antennas that maximizes the largest eigenvalue of a channel covariance matrix and then, chooses the beam-forming vector that maximizes the capacity, from a random vector quantization (RVQ) codebook. Entries in the RVQ codebook are independent isotropically distributed and was previously shown to perform close to the optimum. We derive capacity bounds for the proposed scheme, which are functions of feedback bits, and number of active transmit antennas. The bounds are shown to approximate the actual performance well. Also complexity of the scheme can be reduced with fewer activated transmit antennas.

REFERENCES

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