The low complexity tree-structure based user scheduling algorithm is extended into up-link MLD-based multi-user multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing access (OFDMA) wireless systems. The system sum capacity is maximized by careful user selection on a defined tree structure. The calculation load is reduced by selecting the M most possible best branches and sampling in frequency dimension. The performances of the proposed scheduling algorithm are analyzed within three kinds of OFDMA systems and compared with conventional throughput-based algorithm. Both the theoretical analysis and simulation results show that the proposed algorithm obtains better performance with much low complexity.
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Junyi WANG, Yuyuan CHANG, Chuyu ZHENG, Kiyomichi ARAKI, ZhongZhao ZHANG, "Performance Analysis of the Extended Low Complexity User Scheduling Algorithm over Up-Link Multi-User MIMO OFDMA Systems" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 1, pp. 327-329, January 2008, doi: 10.1093/ietcom/e91-b.1.327.
Abstract: The low complexity tree-structure based user scheduling algorithm is extended into up-link MLD-based multi-user multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing access (OFDMA) wireless systems. The system sum capacity is maximized by careful user selection on a defined tree structure. The calculation load is reduced by selecting the M most possible best branches and sampling in frequency dimension. The performances of the proposed scheduling algorithm are analyzed within three kinds of OFDMA systems and compared with conventional throughput-based algorithm. Both the theoretical analysis and simulation results show that the proposed algorithm obtains better performance with much low complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.1.327/_p
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@ARTICLE{e91-b_1_327,
author={Junyi WANG, Yuyuan CHANG, Chuyu ZHENG, Kiyomichi ARAKI, ZhongZhao ZHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Analysis of the Extended Low Complexity User Scheduling Algorithm over Up-Link Multi-User MIMO OFDMA Systems},
year={2008},
volume={E91-B},
number={1},
pages={327-329},
abstract={The low complexity tree-structure based user scheduling algorithm is extended into up-link MLD-based multi-user multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing access (OFDMA) wireless systems. The system sum capacity is maximized by careful user selection on a defined tree structure. The calculation load is reduced by selecting the M most possible best branches and sampling in frequency dimension. The performances of the proposed scheduling algorithm are analyzed within three kinds of OFDMA systems and compared with conventional throughput-based algorithm. Both the theoretical analysis and simulation results show that the proposed algorithm obtains better performance with much low complexity.},
keywords={},
doi={10.1093/ietcom/e91-b.1.327},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - Performance Analysis of the Extended Low Complexity User Scheduling Algorithm over Up-Link Multi-User MIMO OFDMA Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 327
EP - 329
AU - Junyi WANG
AU - Yuyuan CHANG
AU - Chuyu ZHENG
AU - Kiyomichi ARAKI
AU - ZhongZhao ZHANG
PY - 2008
DO - 10.1093/ietcom/e91-b.1.327
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2008
AB - The low complexity tree-structure based user scheduling algorithm is extended into up-link MLD-based multi-user multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing access (OFDMA) wireless systems. The system sum capacity is maximized by careful user selection on a defined tree structure. The calculation load is reduced by selecting the M most possible best branches and sampling in frequency dimension. The performances of the proposed scheduling algorithm are analyzed within three kinds of OFDMA systems and compared with conventional throughput-based algorithm. Both the theoretical analysis and simulation results show that the proposed algorithm obtains better performance with much low complexity.
ER -