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.
Bibliographical noteFunding Information:
This work was supported in by the National Research Foundation (NRF) funded by the Ministry of Science, ICT and Future Planning, Korean Government, under Grant 2014R1A2A1A10049769. The work of K.-J. Lee was supported through the NRF funded by the Ministry of Science, ICT & Future Planning, Korean Government, under Grant 2013R1A1A1060503 and grant 2014K1A3A1A09063284.
© 2016 KICS.
- Dirty paper coding
- Energy efficiency
- Multicell broadcast channels
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications