Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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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)
  • Published : 2016.12.31
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Abstract

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.

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Acknowledgement

Supported by : National Research Foundation (NRF)

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