TY - JOUR
T1 - Joint beamforming and power allocation in downlink NOMA multiuser MIMO networks
AU - Sun, Xiaofang
AU - Yang, Nan
AU - Yan, Shihao
AU - Ding, Zhiguo
AU - Ng, Derrick Wing Kwan
AU - Shen, Chao
AU - Zhong, Zhangdui
N1 - Funding Information:
Manuscript received August 9, 2017; revised March 7, 2018; accepted May 16, 2018. Date of publication June 8, 2018; date of current version August 10, 2018. This work was supported in part by NSFC under Grants 61501024 and 61725101, in part by the Grant RCS2016ZZ004, by Beijing NSF under Grant L172020, in part by BJTU under Grant 2015RC087, in part by the China Railway Corporation under Grant 2016X003-L, in part by the Fundamental Research Funds for the Central Universities under Grant 2017JBM315, in part by the ARC Discovery Project under Grant DP180104062, in part by the U.K. EPSRC under Grant EP/N005597/1, in part by H2020-MSCA-RISE-2015 under Grant 690750, in part by the Australian Research Council’s Discovery Early Career Researcher Award Funding Scheme under Grant DE170100137, and in part by CSC. This paper was presented in part at the IEEE Globecom Workshop, Washington, DC, USA, December 2016 [1]. The associate editor coordinating the review of this paper and approving it for publication was V. Cadambe. (Corresponding author: Chao Shen.) X. Sun is with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China, with the Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications, Beijing Jiaotong University, Beijing 100044, China, and also with the Research School of Engineering, The Australian National University, Canberra, ACT 2601, Australia (e-mail: [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - In this paper, a novel joint design of beamforming and power allocation is proposed for a multi-cell multiuser multiple-input multiple-output non-orthogonal multiple access network. In this network, base stations adopt coordinated multipoint for downlink transmission. We study a new scenario where the users are divided into two groups according to their quality-of-service requirements, rather than their channel qualities as investigated in the literature. Our proposed joint design aims to maximize the sum rate of the users in one group with the best effort while guaranteeing the minimum required target rates of the users in the other group. The joint design is formulated as a non-convex NP-hard problem. To make the problem tractable, a series of transformations is adopted to simplify the design problem. Then, an iterative suboptimal resource allocation algorithm based on successive convex approximation is proposed. In each iteration, a rank-constrained optimization problem is solved optimally via semidefinite program relaxation. Numerical results reveal that the proposed scheme offers significant sum-rate gains compared to the existing schemes and converges fast to a suboptimal solution.
AB - In this paper, a novel joint design of beamforming and power allocation is proposed for a multi-cell multiuser multiple-input multiple-output non-orthogonal multiple access network. In this network, base stations adopt coordinated multipoint for downlink transmission. We study a new scenario where the users are divided into two groups according to their quality-of-service requirements, rather than their channel qualities as investigated in the literature. Our proposed joint design aims to maximize the sum rate of the users in one group with the best effort while guaranteeing the minimum required target rates of the users in the other group. The joint design is formulated as a non-convex NP-hard problem. To make the problem tractable, a series of transformations is adopted to simplify the design problem. Then, an iterative suboptimal resource allocation algorithm based on successive convex approximation is proposed. In each iteration, a rank-constrained optimization problem is solved optimally via semidefinite program relaxation. Numerical results reveal that the proposed scheme offers significant sum-rate gains compared to the existing schemes and converges fast to a suboptimal solution.
KW - Beamforming
KW - CoMP
KW - MIMO
KW - NOMA
KW - Power allocation
KW - Successive convex approximation
UR - https://www.scopus.com/pages/publications/85048505032
U2 - 10.1109/TWC.2018.2842725
DO - 10.1109/TWC.2018.2842725
M3 - Article
AN - SCOPUS:85048505032
SN - 1536-1276
VL - 17
SP - 5367
EP - 5381
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 8
M1 - 8375979
ER -