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Journal of communications and networks   v.18 no.6, 2016년, pp.873 - 883   SCIE
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Joint Energy Efficiency Optimization with Nonlinear Precoding in Multi-cell Broadcast Systems

Gui, Xin   (School of Electrical Engineering, Korea University  ); Lee, Kyoung-Jae   (Department of Electronics and Control Engineering, Hanbat National University  ); Jung, Jaehoon   (School of Electrical Engineering, Korea University  ); Lee, Inkyu   (School of Electrical Engineering, Korea University  );
  • 초록

    In this paper, we focus on maximizing weighted sum energy efficiency (EE) for a multi-cell multi-user channel. In order to solve this non-convex problem, we first decompose the original problem into a sequence of parallel subproblems which can optimized separately. For each subproblem, a base station employs dirty paper coding to maximize the EE for users within a cell while regulating interference induced to other cells. Since each subproblem can be transformed to a convex multiple-access channel problem, the proposed method provides a closed-form solution for power allocation. Then, based on the derived optimal covariance matrix for each subproblem, a local optimal solution is obtained to maximize the sum EE. Finally, simulation results show that our algorithm based on non-linear precoding achieves about 20 percent performance gains over the conventional linear precoding method.


  • 주제어

    Dirty paper coding  . energy efficiency  . multicell broadcast channels  .

  • 참고문헌 (25)

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