TY - JOUR
T1 - Optimal User Scheduling and Power Allocation for Millimeter Wave NOMA Systems
AU - Cui, Jingjing
AU - Liu, Yuanwei
AU - Ding, Zhiguo
AU - Fan, Pingzhi
AU - Nallanathan, Arumugam
N1 - Funding Information:
Manuscript received April 15, 2017; revised September 7, 2017 and November 6, 2017; accepted November 7, 2017. Date of publication December 8, 2017; date of current version March 8, 2018. The work of J. Cui and P. Fan was supported in part by the National Science Foundation of China under Grant 61731017 and in part by the 111 Project under Grant 111-2-14. The work of Z. Ding was supported by the U.K. EPSRC under Grant EP/L025272/1 and in part by H2020-MSCA-RISE-2015 under Grant 690750. This paper was presented at the IEEE Global Communication Conference (GLOBECOM), Singapore, December 2017 [1]. The associate editor coordinating the review of this paper and approving it for publication was D. W. K. Ng. (Corresponding author: Yuanwei Liu.) J. Cui and P. Fan are with the Institute of Mobile Communications, Southwest Jiaotong University, Chengdu 610031, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2017 IEEE.
PY - 2018/3
Y1 - 2018/3
N2 - This paper investigates the application of non-orthogonal multiple access (NOMA) in millimeter wave (mm-Wave) communications by exploiting beamforming, user scheduling, and power allocation. Random beamforming is invoked for reducing the feedback overhead of the considered system. A non-convex optimization problem for maximizing the sum rate is formulated, which is proved to be NP-hard. The branch and bound approach is invoked to obtain the ∈-optimal power allocation policy, which is proved to converge to a global optimal solution. To elaborate further, a low-complexity suboptimal approach is developed for striking a good computational complexity-optimality tradeoff, where the matching theory and successive convex approximation techniques are invoked for tackling the user scheduling and power allocation problems, respectively. Simulation results reveal that: 1) the proposed low complexity solution achieves a near-optimal performance and 2) the proposed mm-Wave NOMA system is capable of outperforming conventional mm-Wave orthogonal multiple access systems in terms of sum rate and the number of served users.
AB - This paper investigates the application of non-orthogonal multiple access (NOMA) in millimeter wave (mm-Wave) communications by exploiting beamforming, user scheduling, and power allocation. Random beamforming is invoked for reducing the feedback overhead of the considered system. A non-convex optimization problem for maximizing the sum rate is formulated, which is proved to be NP-hard. The branch and bound approach is invoked to obtain the ∈-optimal power allocation policy, which is proved to converge to a global optimal solution. To elaborate further, a low-complexity suboptimal approach is developed for striking a good computational complexity-optimality tradeoff, where the matching theory and successive convex approximation techniques are invoked for tackling the user scheduling and power allocation problems, respectively. Simulation results reveal that: 1) the proposed low complexity solution achieves a near-optimal performance and 2) the proposed mm-Wave NOMA system is capable of outperforming conventional mm-Wave orthogonal multiple access systems in terms of sum rate and the number of served users.
KW - Millimeter wave (mm-wave)
KW - non-orthogonal multiple access (NOMA)
KW - power allocation
KW - user scheduling
UR - http://www.scopus.com/inward/record.url?scp=85038365711&partnerID=8YFLogxK
U2 - 10.1109/TWC.2017.2779504
DO - 10.1109/TWC.2017.2779504
M3 - Article
AN - SCOPUS:85038365711
SN - 1536-1276
VL - 17
SP - 1502
EP - 1517
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 3
ER -