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http://dx.doi.org/10.1109/JCN.2016.000122

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)
Publication Information
Journal of Communications and Networks / v.18, no.6, 2016 , pp. 873-883 More about this Journal
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.
Keywords
Dirty paper coding; energy efficiency; multicell broadcast channels;
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