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Energy-efficient resource allocation for multiuser OFDMA system based on hybrid genetic simulated annealing

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Abstract

Orthogonal frequency division multiple access (OFDMA) is adopted in 4G wireless communication standard, where bandwidth resources can be split into smaller granular units. Tailored for slow adaptive OFDMA system, we study the energy-efficient resource allocation problem based on chance-constrained programming. The optimization objective is to minimize the power consumption over subcarrier and power allocation. The constraints include the outage probability constraint and target bit error rate (BER) constraint. Because the optimization problem contains the probabilistic constraint, it is a chance-constrained programming problem. Hence, support vector machine (SVM) is adopted to compute the outage probability constraint. Then, we integrate SVM and genetic simulated annealing (GSA) to develop hybrid genetic simulated annealing (HGSA). Simulation tests verify that HGSA not only has the lower consumption power, but also satisfies the outage probability constraint.

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Acknowledgments

The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (No. 61301108, 61371169, 61272419), Jiangsu Planned Projects for Postdoctoral Research Funds (No. 1301024C), Postdoctoral Science Foundation of China (No. 2013M541672), Funding of China Scholarship Council, Prospective Study Project in Jiangsu Province in the Future Network (BY2013095-3-02), Jiangsu Province Research Prospective Project (BY2014089, BY2013039, BY2013037) and Lianyungang International Cooperation Project (CH1304), the Fundamental Research Funds for the Central Universities (No. 30915011320).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

    Lei Xu, Xun-zhao Zhou & Qian-mu Li

  2. College of Electronic Engineering, Nanjing university of Aeronautics and Astronautics, Nanjing, China

    Xiao-fei Zhang

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  1. Lei Xu
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  2. Xun-zhao Zhou
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  3. Qian-mu Li
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  4. Xiao-fei Zhang
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Correspondence to Lei Xu.

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The authors declare that they have no conflict of interest.

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Communicated by V. Loia.

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Xu, L., Zhou, Xz., Li, Qm. et al. Energy-efficient resource allocation for multiuser OFDMA system based on hybrid genetic simulated annealing. Soft Comput 21, 3969–3976 (2017). https://doi.org/10.1007/s00500-016-2047-8

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  • DOI: https://doi.org/10.1007/s00500-016-2047-8

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