The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 에너지 효율적인 전이중(FD) 클라우드 무선 액세스 네트워크(C-RAN)를 위한 프리코딩, 전송 전력 및 데이터 속도 할당의 공동 최적화를 연구합니다. 원격 라디오 헤드와 업링크 사용자의 최대 전송 전력에 따라 총 전력 소비에 대한 총 합계 비율의 비율이 최대화되는 새로운 비볼록 문제가 공식화되었습니다. 공식화된 문제의 Karush-Kuhn-Tucker 솔루션에 대한 수렴이 보장된 연속 볼록 프로그래밍을 기반으로 하는 반복 알고리즘이 제안됩니다. 수치적 예는 제안된 알고리즘의 효율성을 확인하고 FD C-RAN이 낮은 자기 간섭 전력 수준에서 에너지 효율성 측면에서 반이중 C-RAN에 비해 큰 이득을 달성할 수 있음을 보여줍니다.
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
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부
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
부
@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},}
부
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 -