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

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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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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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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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  • resource allocation
  • energy efficiency
  • heterogeneous network
  • interference management