DocumentCode :
2141309
Title :
Multiobjective optimized subchannel allocation for wireless OFDM systems
Author :
Sun, Fanglei ; You, Mingli ; Liu, Jin ; Wen, Pingping ; Wu, Shaoquan
Author_Institution :
Bell Labs., Alcatel-Lucent, Shanghai, China
fYear :
2009
fDate :
13-16 Sept. 2009
Firstpage :
1863
Lastpage :
1867
Abstract :
In this paper, we investigate the problem of dynamic subchannel assignments in the downlink of OFDM (Orthogonal Frequency Division Multiplexing) systems. The Kuhn-Munkres algorithm can provide the maximum weighted bipartite matching for assignment problems. In this paper, we formulate the multiobjective optimization (MO) problem in bipartite matching, and propose a modified bipartite matching algorithm(MBM) for assignments with MO requirements. This algorithm can be used to solve the weighted bipartite matching problem with multiobjective optimization. We illustrate the application of MBM to subchannel assignments in wireless OFDM systems. The simulation results show that MBM enjoys low computational complexity and maximizes the system capacity, while keeping the fairness among mobile users.
Keywords :
OFDM modulation; computational complexity; mobile radio; optimisation; Kuhn-Munkres algorithm; computational complexity; maximum weighted bipartite matching; mobile users; multiobjective optimized subchannel allocation; orthogonal frequency division multiplexing; subchannel assignments; wireless OFDM systems; Bipartite graph; Computational complexity; Computational modeling; Downlink; Mobile computing; OFDM; Optimization methods; Performance analysis; Sun; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-5122-7
Electronic_ISBN :
978-1-4244-5123-4
Type :
conf
DOI :
10.1109/PIMRC.2009.5450350
Filename :
5450350
Link To Document :
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