Robust Beamforming for Joint Transceiver Design in <i>K</i>-User Interference Channel over Energy Efficient 5G

DOI Web Site 参考文献11件
  • LI Shidang
    School of Information Science and Engineering, Southeast University
  • LI Chunguo
    School of Information Science and Engineering, Southeast University
  • HUANG Yongming
    School of Information Science and Engineering, Southeast University
  • WANG Dongming
    School of Information Science and Engineering, Southeast University
  • YANG Luxi
    School of Information Science and Engineering, Southeast University

抄録

Considering worse-case channel uncertainties, we investigate the robust energy efficient (EE) beamforming design problem in a K-user multiple-input-single-output (MISO) interference channel. Our objective is to maximize the worse-case sum EE under individual transmit power constraints. In general, this fractional programming problem is NP-hard for the optimal solution. To obtain an insight into the problem, we first transform the original problem into its lower bound problem with max-min and fractional form by exploiting the relationship between the user rate and the minimum mean square error (MMSE) and using the min-max inequality. To make it tractable, we transform the problem of fractional form into a subtractive form by using the Dinkelbach transformation, and then propose an iterative algorithm using Lagrangian duality, which leads to the locally optimal solution. Simulation results demonstrate that our proposed robust EE beamforming scheme outperforms the conventional algorithm.

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