Primal Decomposition-Based Method for Weighted Sum-Rate Maximization in Downlink OFDMA Systems
EURASIP Journal on Wireless Communications and Networking 2010(1)
Article 2010 English
Authors
CW
Chathuranga Weeraddana
MC
Marian Codreanu
WL
Wei Li
Abstract
1 min read
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.
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