In a multi-user multiple-input multiple-output (MU-MIMO) system that adopts zero-forcing (ZF) as a precoder, the best selection is the combination of users who provide the smallest trace of the inverse of the channel auto-correlation matrix. Noting that the trace of the matrix is closely related to the determinant, we search for users that yield the largest determinant of their channel auto-correlation matrix. The proposed technique utilizes the determinant row-exchange criterion (DREC) for computing the determinant-changing ratio, which is generated whenever a user is replaced by one of a group of pre-selected users. Based on the ratio computed by the DREC, the combination of users providing the largest changing ratio is selected. In order to identify the optimal combination, the DREC procedure is repeated until user replacement provides no increase in the determinant. Through computer simulations of four transmit antennas, we show that the bit error rate (BER) per signal-to-noise ratio (SNR) as well as the sum-rate performance provided by the proposed method is comparable to that of the full search method. Furthermore, using the proposed method, a partial replacement of users can be performed easily with a new user who provides the largest determinant.
Hyunwook YANG
Hanyang Univ.
Yeongyu HAN
Hanyang Univ.
Seungwon CHOI
Hanyang Univ.
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Hyunwook YANG, Yeongyu HAN, Seungwon CHOI, "A Novel User Selection Method That Maximizes the Determinant of Channel Auto-Correlation for Multi-User MIMO Systems with Zero-Forcing Precoder" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 7, pp. 1429-1434, July 2014, doi: 10.1587/transcom.E97.B.1429.
Abstract: In a multi-user multiple-input multiple-output (MU-MIMO) system that adopts zero-forcing (ZF) as a precoder, the best selection is the combination of users who provide the smallest trace of the inverse of the channel auto-correlation matrix. Noting that the trace of the matrix is closely related to the determinant, we search for users that yield the largest determinant of their channel auto-correlation matrix. The proposed technique utilizes the determinant row-exchange criterion (DREC) for computing the determinant-changing ratio, which is generated whenever a user is replaced by one of a group of pre-selected users. Based on the ratio computed by the DREC, the combination of users providing the largest changing ratio is selected. In order to identify the optimal combination, the DREC procedure is repeated until user replacement provides no increase in the determinant. Through computer simulations of four transmit antennas, we show that the bit error rate (BER) per signal-to-noise ratio (SNR) as well as the sum-rate performance provided by the proposed method is comparable to that of the full search method. Furthermore, using the proposed method, a partial replacement of users can be performed easily with a new user who provides the largest determinant.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.1429/_p
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@ARTICLE{e97-b_7_1429,
author={Hyunwook YANG, Yeongyu HAN, Seungwon CHOI, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel User Selection Method That Maximizes the Determinant of Channel Auto-Correlation for Multi-User MIMO Systems with Zero-Forcing Precoder},
year={2014},
volume={E97-B},
number={7},
pages={1429-1434},
abstract={In a multi-user multiple-input multiple-output (MU-MIMO) system that adopts zero-forcing (ZF) as a precoder, the best selection is the combination of users who provide the smallest trace of the inverse of the channel auto-correlation matrix. Noting that the trace of the matrix is closely related to the determinant, we search for users that yield the largest determinant of their channel auto-correlation matrix. The proposed technique utilizes the determinant row-exchange criterion (DREC) for computing the determinant-changing ratio, which is generated whenever a user is replaced by one of a group of pre-selected users. Based on the ratio computed by the DREC, the combination of users providing the largest changing ratio is selected. In order to identify the optimal combination, the DREC procedure is repeated until user replacement provides no increase in the determinant. Through computer simulations of four transmit antennas, we show that the bit error rate (BER) per signal-to-noise ratio (SNR) as well as the sum-rate performance provided by the proposed method is comparable to that of the full search method. Furthermore, using the proposed method, a partial replacement of users can be performed easily with a new user who provides the largest determinant.},
keywords={},
doi={10.1587/transcom.E97.B.1429},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - A Novel User Selection Method That Maximizes the Determinant of Channel Auto-Correlation for Multi-User MIMO Systems with Zero-Forcing Precoder
T2 - IEICE TRANSACTIONS on Communications
SP - 1429
EP - 1434
AU - Hyunwook YANG
AU - Yeongyu HAN
AU - Seungwon CHOI
PY - 2014
DO - 10.1587/transcom.E97.B.1429
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2014
AB - In a multi-user multiple-input multiple-output (MU-MIMO) system that adopts zero-forcing (ZF) as a precoder, the best selection is the combination of users who provide the smallest trace of the inverse of the channel auto-correlation matrix. Noting that the trace of the matrix is closely related to the determinant, we search for users that yield the largest determinant of their channel auto-correlation matrix. The proposed technique utilizes the determinant row-exchange criterion (DREC) for computing the determinant-changing ratio, which is generated whenever a user is replaced by one of a group of pre-selected users. Based on the ratio computed by the DREC, the combination of users providing the largest changing ratio is selected. In order to identify the optimal combination, the DREC procedure is repeated until user replacement provides no increase in the determinant. Through computer simulations of four transmit antennas, we show that the bit error rate (BER) per signal-to-noise ratio (SNR) as well as the sum-rate performance provided by the proposed method is comparable to that of the full search method. Furthermore, using the proposed method, a partial replacement of users can be performed easily with a new user who provides the largest determinant.
ER -