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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Bibliographic Details
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
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ISSN1007-6417
1863-236X
DOI10.1007/s11741-009-0211-1

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Summary: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.
Bibliography:O224
MIMO-OFDMA, subcarrier allocation, Hungarian method
TN929.5
31-1735/N
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1007-6417
1863-236X
DOI:10.1007/s11741-009-0211-1