TY - JOUR
T1 - Energy-Efficient Power Allocation for MIMO-NOMA with Multiple Users in a Cluster
AU - Zeng, Ming
AU - Yadav, Animesh
AU - Dobre, Octavia A.
AU - Poor, H. Vincent
N1 - Funding Information:
This work was supported in part by the Natural Sciences and Engineering Research Council of Canada through the Discovery Program and in part by the U.S. National Science Foundation under Grant CCF-1420575 and Grant ECCS-1647198.
Publisher Copyright:
© 2013 IEEE.
PY - 2018/2/22
Y1 - 2018/2/22
N2 - In this paper, energy-efficient power allocation (PA) is investigated for a multiple-input multiple-output non-orthogonal multiple access system with multiple users in a cluster. To ensure the quality of service (QoS) for the users, a minimum rate requirement is pre-defined for each user. Because of the QoS requirement, it is first necessary to determine whether the considered energy-efficiency (EE) maximization problem is feasible or not, by comparing the total transmit power with the required power for satisfying the QoS of the users. If feasible, a closed-form solution is provided for the corresponding sum rate maximization problem, and on this basis, the EE maximization problem is solved by applying non-convex fractional programming. Otherwise, a low-complexity user admission scheme is proposed, which admits users one by one following the ascending order of the required power for satisfying the QoS. Numerical results are presented to validate the effectiveness of the proposed energy-efficient PA strategy and user admission scheme.
AB - In this paper, energy-efficient power allocation (PA) is investigated for a multiple-input multiple-output non-orthogonal multiple access system with multiple users in a cluster. To ensure the quality of service (QoS) for the users, a minimum rate requirement is pre-defined for each user. Because of the QoS requirement, it is first necessary to determine whether the considered energy-efficiency (EE) maximization problem is feasible or not, by comparing the total transmit power with the required power for satisfying the QoS of the users. If feasible, a closed-form solution is provided for the corresponding sum rate maximization problem, and on this basis, the EE maximization problem is solved by applying non-convex fractional programming. Otherwise, a low-complexity user admission scheme is proposed, which admits users one by one following the ascending order of the required power for satisfying the QoS. Numerical results are presented to validate the effectiveness of the proposed energy-efficient PA strategy and user admission scheme.
KW - Non-orthogonal multiple access (NOMA)
KW - energy efficiency (EE)
KW - multiple-input multiple-output (MIMO)
KW - power allocation (PA)
KW - quality-of-service (QoS)
KW - user admission
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U2 - 10.1109/ACCESS.2017.2779855
DO - 10.1109/ACCESS.2017.2779855
M3 - Article
AN - SCOPUS:85042723816
SN - 2169-3536
VL - 6
SP - 5170
EP - 5181
JO - IEEE Access
JF - IEEE Access
ER -