IEICE TRANSACTIONS on Communications
Energy-Efficient Full-Duplex Enabled Cloud Radio Access Networks
Summary :
This paper studies the joint optimization of precoding, transmit power and data rate allocation for energy-efficient full-duplex (FD) cloud radio access networks (C-RANs). A new nonconvex problem is formulated, where the ratio of total sum rate to total power consumption is maximized, subject to the maximum transmit powers of remote radio heads and uplink users. An iterative algorithm based on successive convex programming is proposed with guaranteed convergence to the Karush-Kuhn-Tucker solutions of the formulated problem. Numerical examples confirm the effectiveness of the proposed algorithm and show that the FD C-RANs can achieve a large gain over half-duplex C-RANs in terms of energy efficiency at low self-interference power levels.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E103-B No.1 pp.71-78
- Publication Date
- 2020/01/01
- Publicized
- 2019/07/18
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2018EBP3327
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Tung Thanh VU
The University of Newcastle
Duy Trong NGO
The University of Newcastle
Minh N. DAO
The University of Newcastle
Quang-Thang DUONG
Nara Institute of Science and Technology
Minoru OKADA
Nara Institute of Science and Technology
Hung NGUYEN-LE
the University of Danang
Richard H. MIDDLETON
The University of Newcastle
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Tung Thanh VU, Duy Trong NGO, Minh N. DAO, Quang-Thang DUONG, Minoru OKADA, Hung NGUYEN-LE, Richard H. MIDDLETON, "Energy-Efficient Full-Duplex Enabled Cloud Radio Access Networks" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 1, pp. 71-78, January 2020, doi: 10.1587/transcom.2018EBP3327.
Abstract: This paper studies the joint optimization of precoding, transmit power and data rate allocation for energy-efficient full-duplex (FD) cloud radio access networks (C-RANs). A new nonconvex problem is formulated, where the ratio of total sum rate to total power consumption is maximized, subject to the maximum transmit powers of remote radio heads and uplink users. An iterative algorithm based on successive convex programming is proposed with guaranteed convergence to the Karush-Kuhn-Tucker solutions of the formulated problem. Numerical examples confirm the effectiveness of the proposed algorithm and show that the FD C-RANs can achieve a large gain over half-duplex C-RANs in terms of energy efficiency at low self-interference power levels.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3327/_p
Copy
@ARTICLE{e103-b_1_71,
author={Tung Thanh VU, Duy Trong NGO, Minh N. DAO, Quang-Thang DUONG, Minoru OKADA, Hung NGUYEN-LE, Richard H. MIDDLETON, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy-Efficient Full-Duplex Enabled Cloud Radio Access Networks},
year={2020},
volume={E103-B},
number={1},
pages={71-78},
abstract={This paper studies the joint optimization of precoding, transmit power and data rate allocation for energy-efficient full-duplex (FD) cloud radio access networks (C-RANs). A new nonconvex problem is formulated, where the ratio of total sum rate to total power consumption is maximized, subject to the maximum transmit powers of remote radio heads and uplink users. An iterative algorithm based on successive convex programming is proposed with guaranteed convergence to the Karush-Kuhn-Tucker solutions of the formulated problem. Numerical examples confirm the effectiveness of the proposed algorithm and show that the FD C-RANs can achieve a large gain over half-duplex C-RANs in terms of energy efficiency at low self-interference power levels.},
keywords={},
doi={10.1587/transcom.2018EBP3327},
ISSN={1745-1345},
month={January},}
Copy
TY - JOUR
TI - Energy-Efficient Full-Duplex Enabled Cloud Radio Access Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 71
EP - 78
AU - Tung Thanh VU
AU - Duy Trong NGO
AU - Minh N. DAO
AU - Quang-Thang DUONG
AU - Minoru OKADA
AU - Hung NGUYEN-LE
AU - Richard H. MIDDLETON
PY - 2020
DO - 10.1587/transcom.2018EBP3327
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2020
AB - This paper studies the joint optimization of precoding, transmit power and data rate allocation for energy-efficient full-duplex (FD) cloud radio access networks (C-RANs). A new nonconvex problem is formulated, where the ratio of total sum rate to total power consumption is maximized, subject to the maximum transmit powers of remote radio heads and uplink users. An iterative algorithm based on successive convex programming is proposed with guaranteed convergence to the Karush-Kuhn-Tucker solutions of the formulated problem. Numerical examples confirm the effectiveness of the proposed algorithm and show that the FD C-RANs can achieve a large gain over half-duplex C-RANs in terms of energy efficiency at low self-interference power levels.
ER -
English
