TY - JOUR
T1 - Optimal Energy Efficient Power Allocation with User Fairness for Uplink MC-NOMA Systems
AU - Fang, Fang
AU - Ding, Zhiguo
AU - Liang, Wei
AU - Zhang, Haijun
N1 - Funding Information:
Manuscript received January 9, 2019; revised March 13, 2019; accepted March 24, 2019. Date of publication April 2, 2019; date of current version August 21, 2019. This work was supported in part by the U.K. EPSRC under Grant EP/P009719/2, in part by H2020-MSCA-RISE-2015 under Grant 690750, in part by the National Natural Science Foundation of China under Grant 61822104 and Grant 61771044, in part by the Research Foundation of Ministry of Education of China and China Mobile under Grant MCM20170108, in part by the Beijing Natural Science Foundation under Grant L172025 and Grant L172049, in part by the 111 Project under Grant B170003, and in part by the Fundamental Research Funds for the Central Universities under Grant RC1631. The associate editor coordinating the review of this paper and approving it for publication was M. A. Assaad. (Corresponding authors: Fang Fang; Haijun Zhang.) F. Fang and Z. Ding are with the School of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, U.K. (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2012 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - The optimal energy efficient power allocation is investigated for the uplink multi-carrier non-orthogonal multiple access (MC-NOMA) system. Considering the user fairness, the power allocation is formulated as a maximization problem of the system weighted energy efficiency, which is defined as a ratio of the weighted sum rate to the total power consumption. By utilizing Dinkelbach algorithm and Lagrange dual decomposition approach, the optimal closed-form power allocation expressions are derived. The convergence and optimality of the proposed scheme can be proved. The simulation results demonstrate performance enhancement of the proposed algorithm compared to the existing works, i.e., the enhance water-filling scheme and orthogonal multiple access (OMA) system.
AB - The optimal energy efficient power allocation is investigated for the uplink multi-carrier non-orthogonal multiple access (MC-NOMA) system. Considering the user fairness, the power allocation is formulated as a maximization problem of the system weighted energy efficiency, which is defined as a ratio of the weighted sum rate to the total power consumption. By utilizing Dinkelbach algorithm and Lagrange dual decomposition approach, the optimal closed-form power allocation expressions are derived. The convergence and optimality of the proposed scheme can be proved. The simulation results demonstrate performance enhancement of the proposed algorithm compared to the existing works, i.e., the enhance water-filling scheme and orthogonal multiple access (OMA) system.
KW - Energy efficiency
KW - power allocation
KW - uplink NOMA
UR - http://www.scopus.com/inward/record.url?scp=85071149235&partnerID=8YFLogxK
U2 - 10.1109/LWC.2019.2908912
DO - 10.1109/LWC.2019.2908912
M3 - Article
AN - SCOPUS:85071149235
SN - 2162-2337
VL - 8
SP - 1133
EP - 1136
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 4
M1 - 8680645
ER -