An antenna-permutation (AP) scheme is described for channel-vector quantization (CVQ) in zero-forcing beamforming (ZFBF) multiuser multiple-input and multiple-output orthogonal frequency-division multiplexing systems with multiple receive antennas. Different sets of multiple channel sub-matrices are selected for different subcarriers and then quantized to multiple quantization vectors for finite rate feedback. Based on the quantization vectors, ZFBF provides a single stream or multiple streams to users while increasing frequency selectivity. Simulation results demonstrate that AP-CVQ with four-bit quantization that incorporates with pre-whitening maximum likelihood detection for two stream reception achieved better average packet error rates than minimum mean square error receive beamforming for single stream reception when the frequency selectivity was not severe.
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Masaaki FUJII, "Antenna-Permutation Channel-Vector Quantization for Finite Rate Feedback in Zero-Forcing Beamforming Multiuser MIMO-OFDM Systems" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 7, pp. 2442-2451, July 2009, doi: 10.1587/transcom.E92.B.2442.
Abstract: An antenna-permutation (AP) scheme is described for channel-vector quantization (CVQ) in zero-forcing beamforming (ZFBF) multiuser multiple-input and multiple-output orthogonal frequency-division multiplexing systems with multiple receive antennas. Different sets of multiple channel sub-matrices are selected for different subcarriers and then quantized to multiple quantization vectors for finite rate feedback. Based on the quantization vectors, ZFBF provides a single stream or multiple streams to users while increasing frequency selectivity. Simulation results demonstrate that AP-CVQ with four-bit quantization that incorporates with pre-whitening maximum likelihood detection for two stream reception achieved better average packet error rates than minimum mean square error receive beamforming for single stream reception when the frequency selectivity was not severe.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2442/_p
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@ARTICLE{e92-b_7_2442,
author={Masaaki FUJII, },
journal={IEICE TRANSACTIONS on Communications},
title={Antenna-Permutation Channel-Vector Quantization for Finite Rate Feedback in Zero-Forcing Beamforming Multiuser MIMO-OFDM Systems},
year={2009},
volume={E92-B},
number={7},
pages={2442-2451},
abstract={An antenna-permutation (AP) scheme is described for channel-vector quantization (CVQ) in zero-forcing beamforming (ZFBF) multiuser multiple-input and multiple-output orthogonal frequency-division multiplexing systems with multiple receive antennas. Different sets of multiple channel sub-matrices are selected for different subcarriers and then quantized to multiple quantization vectors for finite rate feedback. Based on the quantization vectors, ZFBF provides a single stream or multiple streams to users while increasing frequency selectivity. Simulation results demonstrate that AP-CVQ with four-bit quantization that incorporates with pre-whitening maximum likelihood detection for two stream reception achieved better average packet error rates than minimum mean square error receive beamforming for single stream reception when the frequency selectivity was not severe.},
keywords={},
doi={10.1587/transcom.E92.B.2442},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Antenna-Permutation Channel-Vector Quantization for Finite Rate Feedback in Zero-Forcing Beamforming Multiuser MIMO-OFDM Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 2442
EP - 2451
AU - Masaaki FUJII
PY - 2009
DO - 10.1587/transcom.E92.B.2442
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2009
AB - An antenna-permutation (AP) scheme is described for channel-vector quantization (CVQ) in zero-forcing beamforming (ZFBF) multiuser multiple-input and multiple-output orthogonal frequency-division multiplexing systems with multiple receive antennas. Different sets of multiple channel sub-matrices are selected for different subcarriers and then quantized to multiple quantization vectors for finite rate feedback. Based on the quantization vectors, ZFBF provides a single stream or multiple streams to users while increasing frequency selectivity. Simulation results demonstrate that AP-CVQ with four-bit quantization that incorporates with pre-whitening maximum likelihood detection for two stream reception achieved better average packet error rates than minimum mean square error receive beamforming for single stream reception when the frequency selectivity was not severe.
ER -