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Resource allocation in OFDMA heterogeneous networks for maximizing weighted sum energy efficiency

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Abstract

In this paper, a resource allocation algorithm for maximizing the weighted sum energy efficiency (EE) is investigated in orthogonal frequency division multiple access (OFDMA) heterogeneous networks (Het-Nets). We aim to balance the EE of macro cell and low power nodes by subchannel and power allocations. We formulate the problem as a nonlinear sum-of-ratios programming issue, and guarantee data rate requirements of users by using minimum rate constraints. Due to the nonconvexity of the problem, we develop a heuristic subchannel assignment algorithm, and then solve the power allocation problem by parameterized transformations and a first-order approximation based on an iterative algorithm. Numerical results illustrate the convergence and the effectiveness of the proposed algorithm.

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Acknowledgements

This work was supported by Nanjing University of Posts and Telecommunications Scientific Foundation (Grant No. NY216007), National Basic Research Program of China (973) (Grant No. 2012CB316 004), and Huawei Innovation Research Program.

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Authors and Affiliations

  1. School of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Xiaoming Wang

  2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    Xiaoming Wang & Xiaohu You

  3. School of Systems Engineering, University of Reading, Reading, RG6 6AY, UK

    Fuchun Zheng

  4. Tongda College of Nanjing University of Posts and Telecommunications, Yangzhou, 225127, China

    Xia Jia

Authors
  1. Xiaoming Wang
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  2. Fuchun Zheng
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  3. Xia Jia
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  4. Xiaohu You
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Corresponding author

Correspondence to Xiaoming Wang.

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Conflict of interest The authors declare that they have no conflict of interest.

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Wang, X., Zheng, F., Jia, X. et al. Resource allocation in OFDMA heterogeneous networks for maximizing weighted sum energy efficiency. Sci. China Inf. Sci. 60, 062304 (2017). https://doi.org/10.1007/s11432-016-0425-3

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  • DOI: https://doi.org/10.1007/s11432-016-0425-3

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