Precoding techniques can be introduced into relay systems due to the similarity between relay systems and traditional multi-input-multi-output (MIMO) systems. A channel state information feedback scheme is firstly presented for the MIMO relay system in this letter, where the zero-forcing relaying protocol is proposed to be used so that the information of the equivalent channel and the relaying noise can be compressed into two coefficients. With the proposed feedback scheme, the distributed precoding is presented to be applied through two continuous transmitted vectors of the source node while the co-channel interference cancellation equalizer is used in the destination node. The system outage probability can be improved with the precoding in the source node. Furthermore, various spatial data rates can be conveniently supported by the proposed distributed spatial-temporal precoding method.
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Hang LONG, Wenbo WANG, Fangxiang WANG, Kan ZHENG, "Distributed Spatial-Temporal Precoding with Limited Feedback" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 2, pp. 407-410, February 2010, doi: 10.1587/transcom.E93.B.407.
Abstract: Precoding techniques can be introduced into relay systems due to the similarity between relay systems and traditional multi-input-multi-output (MIMO) systems. A channel state information feedback scheme is firstly presented for the MIMO relay system in this letter, where the zero-forcing relaying protocol is proposed to be used so that the information of the equivalent channel and the relaying noise can be compressed into two coefficients. With the proposed feedback scheme, the distributed precoding is presented to be applied through two continuous transmitted vectors of the source node while the co-channel interference cancellation equalizer is used in the destination node. The system outage probability can be improved with the precoding in the source node. Furthermore, various spatial data rates can be conveniently supported by the proposed distributed spatial-temporal precoding method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.407/_p
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@ARTICLE{e93-b_2_407,
author={Hang LONG, Wenbo WANG, Fangxiang WANG, Kan ZHENG, },
journal={IEICE TRANSACTIONS on Communications},
title={Distributed Spatial-Temporal Precoding with Limited Feedback},
year={2010},
volume={E93-B},
number={2},
pages={407-410},
abstract={Precoding techniques can be introduced into relay systems due to the similarity between relay systems and traditional multi-input-multi-output (MIMO) systems. A channel state information feedback scheme is firstly presented for the MIMO relay system in this letter, where the zero-forcing relaying protocol is proposed to be used so that the information of the equivalent channel and the relaying noise can be compressed into two coefficients. With the proposed feedback scheme, the distributed precoding is presented to be applied through two continuous transmitted vectors of the source node while the co-channel interference cancellation equalizer is used in the destination node. The system outage probability can be improved with the precoding in the source node. Furthermore, various spatial data rates can be conveniently supported by the proposed distributed spatial-temporal precoding method.},
keywords={},
doi={10.1587/transcom.E93.B.407},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - Distributed Spatial-Temporal Precoding with Limited Feedback
T2 - IEICE TRANSACTIONS on Communications
SP - 407
EP - 410
AU - Hang LONG
AU - Wenbo WANG
AU - Fangxiang WANG
AU - Kan ZHENG
PY - 2010
DO - 10.1587/transcom.E93.B.407
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2010
AB - Precoding techniques can be introduced into relay systems due to the similarity between relay systems and traditional multi-input-multi-output (MIMO) systems. A channel state information feedback scheme is firstly presented for the MIMO relay system in this letter, where the zero-forcing relaying protocol is proposed to be used so that the information of the equivalent channel and the relaying noise can be compressed into two coefficients. With the proposed feedback scheme, the distributed precoding is presented to be applied through two continuous transmitted vectors of the source node while the co-channel interference cancellation equalizer is used in the destination node. The system outage probability can be improved with the precoding in the source node. Furthermore, various spatial data rates can be conveniently supported by the proposed distributed spatial-temporal precoding method.
ER -