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.
Original language | English |
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Article number | 000122 |
Pages (from-to) | 873-883 |
Number of pages | 11 |
Journal | Journal of Communications and Networks |
Volume | 18 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2016 Dec |
Keywords
- Dirty paper coding
- Energy efficiency
- Multicell broadcast channels
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications