Title :
Optimal Resource Allocation for OFDMA Downlink Systems
Author :
Seong, Kibeom ; Mohseni, Mehdi ; Cioffi, John M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA
Abstract :
This paper proposes efficient rate and power allocation algorithms for OFDMA downlink systems where each tone is taken by at most one user. Weighted sum rate maximization (WSRmax) and weighted sum power minimization (WSPmin) problems are considered. Since these resource allocation problems are non-convex, complexity of finding the optimal solutions is prohibitively high. This paper employs the Lagrange dual decomposition method to efficiently solve both optimization problems. Because of their non-convex nature, there is no guarantee for the solution obtained by the dual decomposition method to be optimal. However, it is shown that with practical number of tones, the duality gap is virtually zero and the optimal solutions can be efficiently obtained
Keywords :
OFDM modulation; duality (mathematics); frequency division multiple access; optimisation; Lagrange dual decomposition method; OFDMA downlink systems; duality gap; nonconvex problem; optimal resource allocation; optimization problems; power allocation algorithm; rate allocation algorithm; weighted sum power minimization problem; weighted sum rate maximization problem; DSL; Downlink; Lagrangian functions; OFDM modulation; Optimization methods; Quality of service; Resource management; Signal to noise ratio; Throughput; Wireless communication;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.262075