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Performance of MIMO Systems using Transmitter Preprocessing Based on Limited Noisy Feedback

Performance of MIMO Systems using Transmitter Preprocessing Based on Limited Noisy Feedback
Performance of MIMO Systems using Transmitter Preprocessing Based on Limited Noisy Feedback
In this contribution we investigate the performance of Spatial Division Multiple Access (SDMA) multiple-input multiple-output (MIMO) systems using transmitter preprocessing, when the channel knowledge required for preprocessing is acquired by the receiver and conveyed to the transmitter via noise feedback channels that may also conflict fading. Specifically, in our system the MIMO channel impulse responses (CIRs) are vector quantized. Then, the CIR magnitudes and phases are conveyed to the transmitter via a feedback channel, which is noise contaminated and may also experience Rayleigh fading. At the transmitter, the CIRs used for transmit preprocessing are recovered using a soft estimator, which is optimum in the minimum mean-square error (MMSE) sense, and is implemented based on the so-called Hadamard soft-decoding principles. Our study and simulation results demonstrate that vector quantization combined with soft-decoding constitutes an efficient technique of feeding back the CIRs from the receiver to the transmitter. However, it is also known that the performance of the zero-forcing (ZF) or MMSE transmit preprocessing schemes is highly sensitive to the effect of quantization errors as well as to the feedback channel induced errors.
2119-2123
Yang, D.
ab0a2a89-8d82-4da0-97c0-97e75a0c1ff4
Yang, L-L.
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Yang, D.
ab0a2a89-8d82-4da0-97c0-97e75a0c1ff4
Yang, L-L.
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Yang, D., Yang, L-L. and Hanzo, L. (2007) Performance of MIMO Systems using Transmitter Preprocessing Based on Limited Noisy Feedback. IEEE VTC'07 (Spring). 22 - 25 Apr 2007. pp. 2119-2123 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this contribution we investigate the performance of Spatial Division Multiple Access (SDMA) multiple-input multiple-output (MIMO) systems using transmitter preprocessing, when the channel knowledge required for preprocessing is acquired by the receiver and conveyed to the transmitter via noise feedback channels that may also conflict fading. Specifically, in our system the MIMO channel impulse responses (CIRs) are vector quantized. Then, the CIR magnitudes and phases are conveyed to the transmitter via a feedback channel, which is noise contaminated and may also experience Rayleigh fading. At the transmitter, the CIRs used for transmit preprocessing are recovered using a soft estimator, which is optimum in the minimum mean-square error (MMSE) sense, and is implemented based on the so-called Hadamard soft-decoding principles. Our study and simulation results demonstrate that vector quantization combined with soft-decoding constitutes an efficient technique of feeding back the CIRs from the receiver to the transmitter. However, it is also known that the performance of the zero-forcing (ZF) or MMSE transmit preprocessing schemes is highly sensitive to the effect of quantization errors as well as to the feedback channel induced errors.

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Published date: 2007
Additional Information: Event Dates: 22-25 April 2007
Venue - Dates: IEEE VTC'07 (Spring), 2007-04-22 - 2007-04-25
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 263931
URI: http://eprints.soton.ac.uk/id/eprint/263931
PURE UUID: 4abd38f4-897b-45b4-8bde-31215e31e2a3
ORCID for L-L. Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 25 Apr 2007
Last modified: 03 Dec 2019 02:06

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Contributors

Author: D. Yang
Author: L-L. Yang ORCID iD
Author: L. Hanzo ORCID iD

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