JOURNAL ARTICLE

Optimal Resource Allocation for OFDMA Downlink Systems

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:
Mathematical optimization Telecommunications link Computer science Maximization Resource allocation Duality (order theory) Duality gap Minification Dual (grammatical number) Convex optimization Orthogonal frequency-division multiplexing Lagrange multiplier Decomposition Orthogonal frequency-division multiple access Frequency-division multiple access Optimization problem Regular polygon Mathematics Telecommunications

Metrics

502
Cited By
27.89
FWCI (Field Weighted Citation Impact)
9
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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