Joint Energy Efficiency Optimization with Nonlinear Precoding in Multi-cell Broadcast Systems
- Authors
- Gui, Xin; Lee, Kyoung-Jae; Jung, Jaehoon; Lee, Inkyu
- Issue Date
- Dec-2016
- Publisher
- KOREAN INST COMMUNICATIONS SCIENCES (K I C S)
- Keywords
- Dirty paper coding; energy efficiency; multicell broadcast channels
- Citation
- JOURNAL OF COMMUNICATIONS AND NETWORKS, v.18, no.6, pp.873 - 883
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- JOURNAL OF COMMUNICATIONS AND NETWORKS
- Volume
- 18
- Number
- 6
- Start Page
- 873
- End Page
- 883
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/86624
- DOI
- 10.1109/JCN.2016.000122
- ISSN
- 1229-2370
- 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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