Adaptive subcarrier allocation for MIMO-OFDMA wireless systems using Hungarian method

MIMO-OFDMA is a promising technique for future broadband wireless communication systems. In this paper, the problem of allocating subcarriers among different users to maximize the total capacity is addressed. The optimal solution can be obtained by Hungarian method is proved, using two utility matri...

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Published inJournal of Shanghai University Vol. 13; no. 2; pp. 146 - 149
Main Author 管张均 李昊 徐昌庆 周希朗 张唯炯
Format Journal Article
LanguageEnglish
Published Heidelberg Shanghai University Press 01.04.2009
Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, P. R. China
Subjects
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ISSN1007-6417
1863-236X
DOI10.1007/s11741-009-0211-1

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Abstract MIMO-OFDMA is a promising technique for future broadband wireless communication systems. In this paper, the problem of allocating subcarriers among different users to maximize the total capacity is addressed. The optimal solution can be obtained by Hungarian method is proved, using two utility matrices, i.e. the Frobenius-norm matrix and the determinant matrix. Simulation results show that the proposed algorithm can achieve higher capacity than the existing algorithms, and it is globally optimal and easy to be implemented.
AbstractList MIMO-OFDMA is a promising technique for future broadband wireless communication systems. In this paper, the problem of allocating subcarriers among different users to maximize the total capacity is addressed. The optimal solution can be obtained by Hungarian method is proved, using two utility matrices, i.e. the Frobenius-norm matrix and the determinant matrix. Simulation results show that the proposed algorithm can achieve higher capacity than the existing algorithms, and it is globally optimal and easy to be implemented.
MIMO-OFDMA is a promising technique for future broadband wireless communication systems. In this paper, the problem of allocating subcarriers among different users to maximize the total capacity is addressed. The optimal solution can be obtained by Hungarian method is proved, using two utility matrices, i.e. the Frobenius-norm matrix and the determinant matrix. Simulation results show that the proposed algorithm can achieve higher capacity than the existing algorithms, and it is globally optimal and easy to be implemented.
O1; MIMO-OFDMA is a promising technique for future broadband wireless communication systems. In this paper, the problem of allocating subcarriers among different users to maximize the total capacity is addressed. The optimal solution can be obtained by Hungarian method is proved, using two utility matrices, i.e. the Frobenius-norm matrix and the determinant matrix. Simulation results show that the proposed algorithm can achieve higher capacity than the existing algorithms, and it is globally optimal and easy to be implemented.
Author 管张均 李昊 徐昌庆 周希朗 张唯炯
AuthorAffiliation Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, P. R. China
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Cites_doi 10.1007/s11741-007-0318-2
10.1109/49.793310
10.1109/18.661517
10.1109/18.771146
10.1109/JSAC.2002.807348
10.1109/MCOM.2002.1031841
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Keywords subcarrier allocation
MIMO-OFDMA
Hungarian method
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Snippet MIMO-OFDMA is a promising technique for future broadband wireless communication systems. In this paper, the problem of allocating subcarriers among different...
O1; MIMO-OFDMA is a promising technique for future broadband wireless communication systems. In this paper, the problem of allocating subcarriers among...
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SubjectTerms Classical Mechanics
DMA技术
Engineering
Environment
Life Sciences
Materials Science
Mathematical and Computational Engineering
Mechatronics
MIMO
OFDMA
匈牙利方法
子载波分配
宽带无线通信系统
无线系统
自适应
Title Adaptive subcarrier allocation for MIMO-OFDMA wireless systems using Hungarian method
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