Resource allocation issues are investigated in this paper for multiuser wireless transmissions based on orthogonal frequency division multiplexing (OFDM). Relying on convex and stochastic optimization tools, the novel approach to resource allocation includes: i) development of jointly optimal subcarrier, power, and rate allocation for weighted sum-average-rate maximization; ii) judicious formulation and derivation of the optimal resource allocation for maximizing the utility of average user rates; and iii) development of the stochastic resource allocation schemes, and rigorous proof of their convergence and optimality. Simulations are also provided to demonstrate the merits of the novel schemes.
Bibliographical noteFunding Information:
Manuscript received December 14, 2008; revised September 16, 2010; accepted December 16, 2010. Date of current version June 22, 2011. This work was supported by the U.S. National Science Foundation under Grants CNS 0831671, CCF-0830480, 1016605, ECCS-0824007, 1002180, and CON 014658, and was prepared through collaborative participation in the Communications and Networks Consortium sponsored by the U. S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The U. S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. This paper was presented in part at the 41st Conference on Information Sciences and Systems, Baltimore, MD, Mar. 2007, and at the IEEE International Symposium on Information Theory, Toronto, ON, Canada, July 6–11, 2008.
- convex optimization
- resource allocation and scheduling
- stochastic approximation