Primal Decomposition-Based Method for Weighted Sum-Rate Maximization in Downlink OFDMA Systems

We consider the weighted sum-rate maximization problem in downlink Orthogonal Frequency Division Multiple Access (OFDMA) systems. Motivated by the increasing popularity of OFDMA in future wireless technologies, a low complexity suboptimal resource allocation algorithm is obtained for joint optimizat...

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Bibliographic Details
Published in:EURASIP journal on wireless communications and networking 2010-01, Vol.2010 (1), Article 324780
Main Authors: Weeraddana, Chathuranga, Codreanu, Marian, Li, Wei, Latva-Aho, Matti
Format: Article
Language:English
Subjects:
Algorithms
Allocations
Approximation
Communications Engineering
Complexity
Decomposition
Engineering
Information Systems Applications (incl.Internet)
Mathematical models
Maximization
Networks
Optimization
Research Article
Signal,Image and Speech Processing
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Summary:We consider the weighted sum-rate maximization problem in downlink Orthogonal Frequency Division Multiple Access (OFDMA) systems. Motivated by the increasing popularity of OFDMA in future wireless technologies, a low complexity suboptimal resource allocation algorithm is obtained for joint optimization of multiuser subcarrier assignment and power allocation. The algorithm is based on an approximated primal decomposition-based method, which is inspired from exact primal decomposition techniques. The original nonconvex optimization problem is divided into two subproblems which can be solved independently. Numerical results are provided to compare the performance of the proposed algorithm to Lagrange relaxation based suboptimal methods as well as to optimal exhaustive search-based method. Despite its reduced computational complexity, the proposed algorithm provides close-to-optimal performance.
ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1155/2010/324780