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 be optimized separately. For each subproblem, a base station employs dirty paper coding to maximize the EE for users within the cell while regulating interference induced to other cells. Since each subproblem can be transformed to a convex multiple-access channel problem, the proposed method provide a closed-form power allocation. Then, based on the optimal covariance matrix, a locally optimal solution is obtained to maximize the sum EE. Finally, simulation results show that our algorithm based on the non-linear precoding achieves close to 20 percent gain than the conventional linear precoding method.
Original language | English |
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Title of host publication | IEEE International Conference on Communications |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2363-2368 |
Number of pages | 6 |
Volume | 2015-September |
ISBN (Print) | 9781467364324 |
DOIs | |
Publication status | Published - 2015 Sep 9 |
Event | IEEE International Conference on Communications, ICC 2015 - London, United Kingdom Duration: 2015 Jun 8 → 2015 Jun 12 |
Other
Other | IEEE International Conference on Communications, ICC 2015 |
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Country | United Kingdom |
City | London |
Period | 15/6/8 → 15/6/12 |
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Keywords
- Dirty paper coding
- Energy efficiency
- Multi-cell multi-user channel
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
Cite this
Energy efficiency optimization with non-linear precoding in multi-cell MISO broadcast channels. / Xin, Gui; Lee, Kyoung Jae; Zhu, Zhengyu; Jung, Jaehoon; Lee, Inkyu.
IEEE International Conference on Communications. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. p. 2363-2368 7248678.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Energy efficiency optimization with non-linear precoding in multi-cell MISO broadcast channels
AU - Xin, Gui
AU - Lee, Kyoung Jae
AU - Zhu, Zhengyu
AU - Jung, Jaehoon
AU - Lee, Inkyu
PY - 2015/9/9
Y1 - 2015/9/9
N2 - 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 be optimized separately. For each subproblem, a base station employs dirty paper coding to maximize the EE for users within the cell while regulating interference induced to other cells. Since each subproblem can be transformed to a convex multiple-access channel problem, the proposed method provide a closed-form power allocation. Then, based on the optimal covariance matrix, a locally optimal solution is obtained to maximize the sum EE. Finally, simulation results show that our algorithm based on the non-linear precoding achieves close to 20 percent gain than the conventional linear precoding method.
AB - 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 be optimized separately. For each subproblem, a base station employs dirty paper coding to maximize the EE for users within the cell while regulating interference induced to other cells. Since each subproblem can be transformed to a convex multiple-access channel problem, the proposed method provide a closed-form power allocation. Then, based on the optimal covariance matrix, a locally optimal solution is obtained to maximize the sum EE. Finally, simulation results show that our algorithm based on the non-linear precoding achieves close to 20 percent gain than the conventional linear precoding method.
KW - Dirty paper coding
KW - Energy efficiency
KW - Multi-cell multi-user channel
UR - http://www.scopus.com/inward/record.url?scp=84953751217&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84953751217&partnerID=8YFLogxK
U2 - 10.1109/ICC.2015.7248678
DO - 10.1109/ICC.2015.7248678
M3 - Conference contribution
AN - SCOPUS:84953751217
SN - 9781467364324
VL - 2015-September
SP - 2363
EP - 2368
BT - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
ER -