We describe a channel-vector quantization scheme that is suitable for multiple stream transmission per user in zero-forcing beamforming (ZFBF) multiuser multiple-input and multiple output (MU-MIMO) systems with finite rate feedback. Multiple subsets of a channel matrix are quantized to vectors from random vector codebooks for finite rate feedback. The quantization vectors with an angle difference that is closer to orthogonal are then selected and their indexes are fed back to the transmitter. Simulation results demonstrate that the proposed scheme achieves a better average throughput than that serving a single stream per user when the number of active users is smaller than the number of transmit antennas and that it provides an average throughput close to that serving a single stream per user when the number of users is equal to the number of transmit antennas.
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Masaaki FUJII, "Zero-Forcing Beamforming Multiuser-MIMO Systems with Finite Rate Feedback for Multiple Stream Transmission per User" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 3, pp. 1035-1038, March 2009, doi: 10.1587/transcom.E92.B.1035.
Abstract: We describe a channel-vector quantization scheme that is suitable for multiple stream transmission per user in zero-forcing beamforming (ZFBF) multiuser multiple-input and multiple output (MU-MIMO) systems with finite rate feedback. Multiple subsets of a channel matrix are quantized to vectors from random vector codebooks for finite rate feedback. The quantization vectors with an angle difference that is closer to orthogonal are then selected and their indexes are fed back to the transmitter. Simulation results demonstrate that the proposed scheme achieves a better average throughput than that serving a single stream per user when the number of active users is smaller than the number of transmit antennas and that it provides an average throughput close to that serving a single stream per user when the number of users is equal to the number of transmit antennas.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.1035/_p
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@ARTICLE{e92-b_3_1035,
author={Masaaki FUJII, },
journal={IEICE TRANSACTIONS on Communications},
title={Zero-Forcing Beamforming Multiuser-MIMO Systems with Finite Rate Feedback for Multiple Stream Transmission per User},
year={2009},
volume={E92-B},
number={3},
pages={1035-1038},
abstract={We describe a channel-vector quantization scheme that is suitable for multiple stream transmission per user in zero-forcing beamforming (ZFBF) multiuser multiple-input and multiple output (MU-MIMO) systems with finite rate feedback. Multiple subsets of a channel matrix are quantized to vectors from random vector codebooks for finite rate feedback. The quantization vectors with an angle difference that is closer to orthogonal are then selected and their indexes are fed back to the transmitter. Simulation results demonstrate that the proposed scheme achieves a better average throughput than that serving a single stream per user when the number of active users is smaller than the number of transmit antennas and that it provides an average throughput close to that serving a single stream per user when the number of users is equal to the number of transmit antennas.},
keywords={},
doi={10.1587/transcom.E92.B.1035},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - Zero-Forcing Beamforming Multiuser-MIMO Systems with Finite Rate Feedback for Multiple Stream Transmission per User
T2 - IEICE TRANSACTIONS on Communications
SP - 1035
EP - 1038
AU - Masaaki FUJII
PY - 2009
DO - 10.1587/transcom.E92.B.1035
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2009
AB - We describe a channel-vector quantization scheme that is suitable for multiple stream transmission per user in zero-forcing beamforming (ZFBF) multiuser multiple-input and multiple output (MU-MIMO) systems with finite rate feedback. Multiple subsets of a channel matrix are quantized to vectors from random vector codebooks for finite rate feedback. The quantization vectors with an angle difference that is closer to orthogonal are then selected and their indexes are fed back to the transmitter. Simulation results demonstrate that the proposed scheme achieves a better average throughput than that serving a single stream per user when the number of active users is smaller than the number of transmit antennas and that it provides an average throughput close to that serving a single stream per user when the number of users is equal to the number of transmit antennas.
ER -