Energy efficiency optimization with non-linear precoding in multi-cell MISO broadcast channels

Gui Xin, Kyoung Jae Lee, Zhengyu Zhu, Jaehoon Jung, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationIEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2363-2368
Number of pages6
Volume2015-September
ISBN (Print)9781467364324
DOIs
Publication statusPublished - 2015 Sep 9
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: 2015 Jun 82015 Jun 12

Other

OtherIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period15/6/815/6/12

Fingerprint

Energy efficiency
Covariance matrix
Base stations

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

Xin, G., Lee, K. J., Zhu, Z., Jung, J., & Lee, I. (2015). Energy efficiency optimization with non-linear precoding in multi-cell MISO broadcast channels. In IEEE International Conference on Communications (Vol. 2015-September, pp. 2363-2368). [7248678] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7248678

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 proceedingConference contribution

Xin, G, Lee, KJ, Zhu, Z, Jung, J & Lee, I 2015, Energy efficiency optimization with non-linear precoding in multi-cell MISO broadcast channels. in IEEE International Conference on Communications. vol. 2015-September, 7248678, Institute of Electrical and Electronics Engineers Inc., pp. 2363-2368, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 15/6/8. https://doi.org/10.1109/ICC.2015.7248678
Xin G, Lee KJ, Zhu Z, Jung J, Lee I. Energy efficiency optimization with non-linear precoding in multi-cell MISO broadcast channels. In IEEE International Conference on Communications. Vol. 2015-September. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2363-2368. 7248678 https://doi.org/10.1109/ICC.2015.7248678
Xin, Gui ; Lee, Kyoung Jae ; Zhu, Zhengyu ; Jung, Jaehoon ; Lee, Inkyu. / Energy efficiency optimization with non-linear precoding in multi-cell MISO broadcast channels. IEEE International Conference on Communications. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2363-2368
@inproceedings{07481088f07245fd88f79e5349842d56,
title = "Energy efficiency optimization with non-linear precoding in multi-cell MISO broadcast channels",
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.",
keywords = "Dirty paper coding, Energy efficiency, Multi-cell multi-user channel",
author = "Gui Xin and Lee, {Kyoung Jae} and Zhengyu Zhu and Jaehoon Jung and Inkyu Lee",
year = "2015",
month = "9",
day = "9",
doi = "10.1109/ICC.2015.7248678",
language = "English",
isbn = "9781467364324",
volume = "2015-September",
pages = "2363--2368",
booktitle = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

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 -