DocumentCode :
3602990
Title :
Energy-Efficient Resource Allocation in Single-Cell OFDMA Systems: Multi-Objective Approach
Author :
Lukai Xu ; Guanding Yu ; Yuhuan Jiang
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
Volume :
14
Issue :
10
fYear :
2015
Firstpage :
5848
Lastpage :
5858
Abstract :
In this paper, we investigate the energy-efficient resource allocation problem in a single-cell orthogonal frequency division multiple access (OFDMA) system to achieve the energy efficiency (EE) tradeoff among users. Rather than overall system EE, our objective is to maximize the EE for each individual user. Therefore, a multiple-objective optimization problem is formulated, which in general has many Pareto optimal solutions and is hard to solve. To find its solution, we first convert it into two different single-objective optimization problems using the weighted-sum approach and the max-min approach, respectively. The single-objective optimization problems are non-convex due to the combinatorial channel allocation variables. Therefore, for both problems, we first provide an upper bound algorithm by relaxing the combinatorial variables and then develop a suboptimal heuristic algorithm. The sum-of-ratios optimization and the generalized fractional programming are utilized for the weighted-sum problem and the max-min problem, respectively. Numerical results demonstrate that both the weighted-sum and the max-min approaches can effectively solve the EE maximization problem, and the suboptimal heuristic algorithms can achieve a close performance to the corresponding upper bound algorithm.
Keywords :
OFDM modulation; combinatorial mathematics; concave programming; energy conservation; frequency division multiple access; minimax techniques; resource allocation; telecommunication power management; combinatorial channel allocation variables; energy efficiency tradeoff; energy-efficient resource allocation problem; generalized fractional programming; max-min approach; multiple-objective optimization problem; nonconvex problem; single-cell OFDMA system; single-cell orthogonal frequency division multiple access system; single-objective optimization problem; suboptimal heuristic algorithm; sum-of-ratios optimization; weighted-sum problem; Channel allocation; Heuristic algorithms; Optimization; Power demand; Resource management; Upper bound; Wireless communication; OFDMA; energy efficiency; generalized fractional programming; multi-objective optimization; resource allocation; sum-of-ratios optimization; weighted-sum;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2015.2443104
Filename :
7121028
Link To Document :
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