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 in | Journal of Shanghai University Vol. 13; no. 2; pp. 146 - 149 |
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Main Author | |
Format | Journal Article |
Language | English |
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 | |
Online Access | Get full text |
ISSN | 1007-6417 1863-236X |
DOI | 10.1007/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. |
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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 10.1109/26.983319 |
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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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