Journal
IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 57, Issue 7, Pages 4359-4372Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2011.2145770
Keywords
convex optimization; OFDM; resource allocation and scheduling; stochastic approximation
Funding
- U.S. National Science Foundation [CNS 0831671, CCF-0830480, 1016605, ECCS-0824007, 1002180, CON 014658]
- U. S. Army Research Laboratory through Communications and Networks Consortium [DAAD19-01-2-0011]
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [0830480] Funding Source: National Science Foundation
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [1016605] Funding Source: National Science Foundation
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [0824007] Funding Source: National Science Foundation
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [831671] Funding Source: National Science Foundation
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1002180] Funding Source: National Science Foundation
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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.
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