Resource allocation for wireless multiuser OFDM networks

Xin Wang; Georgios B. Giannakis

doi:10.1109/TIT.2011.2145770

Resource allocation for wireless multiuser OFDM networks

Xin Wang, Georgios B. Giannakis

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

106 Scopus citations

Abstract

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.

Original language	English (US)
Article number	5895104
Pages (from-to)	4359-4372
Number of pages	14
Journal	IEEE Transactions on Information Theory
Volume	57
Issue number	7
DOIs	https://doi.org/10.1109/TIT.2011.2145770
State	Published - Jul 2011

Bibliographical note

Funding 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.

Keywords

OFDM
convex optimization
resource allocation and scheduling
stochastic approximation

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title = "Resource allocation for wireless multiuser OFDM networks",

abstract = "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.",

keywords = "OFDM, convex optimization, resource allocation and scheduling, stochastic approximation",

author = "Xin Wang and Giannakis, {Georgios B.}",

note = "Funding 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.",

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N2 - 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.

AB - 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.

KW - OFDM

KW - convex optimization

KW - resource allocation and scheduling

KW - stochastic approximation

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Resource allocation for wireless multiuser OFDM networks

Abstract

Bibliographical note

Keywords

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