Outage Probability Constrained MIMO-NOMA Designs Under Imperfect CSI

被引:47
作者
Cui, Jingjing [1 ]
Ding, Zhiguo [2 ]
Fan, Pingzhi [1 ]
机构
[1] Southwest Jiaotong Univ, Inst Mobile Commun, Chengdu 610031, Sichuan, Peoples R China
[2] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
基金
英国工程与自然科学研究理事会; 欧盟地平线“2020”; 美国国家科学基金会;
关键词
Non-orthogonal multiple access (NOMA); multiple-input and multiple-output (MIMO); imperfect channel state information (CSI); beamforming; probabilistic constraints; NONORTHOGONAL MULTIPLE-ACCESS; SUM-RATE MAXIMIZATION; OPTIMAL POWER-CONTROL; CHANNEL; OPTIMIZATION; SYSTEMS; PERFORMANCE; ALLOCATION; DOWNLINK;
D O I
10.1109/TWC.2018.2875490
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Non-orthogonal multiple access (NOMA) has been recognized as a promising multiple access scheme to be used in fifth-generation wireless networks. In this paper, multiple-input and multiple-output (MIMO) techniques are applied to NOMA systems by considering two types of imperfect channel state information-channel distribution information (CDI) and channel estimation uncertainty. Based on the two considered channel models, the power allocation and beamforming vectors are jointly designed to maximize the system utility of MIMO-NOMA, subjected to probabilistic constraints. Due to the implementation of successive interference cancellation in NOMA, the power allocation coefficients of the users in each cluster become coupled, which complicates the rate outage probability constraints and results in two challenging non-convex problems. For the optimization problem under CDI, we propose an efficient successive convex approximation (SCA) algorithm based on first-order approximation and semidefinite programming (SDP). For the optimization problem under channel estimation uncertainty, a new algorithm for the joint power allocation and receive beamforming design is developed to maximize the system utility based on SCA and an efficient 1-D search. In addition, the convergence and the feasibility are discussed for the two formulated problems. Furthermore, an efficient method to find a feasible initial solution is provided. Finally, the presented simulation results validate that the proposed two algorithms outperform MIMO-orthogonal multiple access and MIMO fixed NOMA (MIMO F-NOMA) with fixed power allocation and beamforming.
引用
收藏
页码:8239 / 8255
页数:17
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