TY - JOUR
T1 - Outage Probability Constrained MIMO-NOMA Designs Under Imperfect CSI
AU - Cui, Jingjing
AU - Ding, Zhiguo
AU - Fan, Pingzhi
N1 - Funding Information:
The work of J. Cui and P. Fan were supported in part by the National Science Foundation of China under Grant NSFC 61731017 and in part by the 111 Project under Grant 111-2-14. The work of Z. Ding was supported in part by U.K. EPSRC under Grant EP/N005597/1 and in part by NSFC under Grant 61728101, Grant H2020-MSCA-RISE-2015, and Grant 690750.
Funding Information:
Manuscript received April 5, 2017; revised October 4, 2018; accepted October 4, 2018. Date of publication October 23, 2018; date of current version December 10, 2018. The work of J. Cui and P. Fan were supported in part by the National Science Foundation of China under Grant NSFC 61731017 and in part by the 111 Project under Grant 111-2-14. The work of Z. Ding was supported in part by U.K. EPSRC under Grant EP/N005597/1 and in part by NSFC under Grant 61728101, Grant H2020-MSCA-RISE-2015, and Grant 690750. This paper was presented at the IEEE International Communication Conference, France, May 2017 [1]. The associate editor coordinating the review of this paper and approving it for publication was V. Cadambe. (Corresponding author: Jingjing Cui).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12
Y1 - 2018/12
N2 - 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.
AB - 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.
KW - beamforming
KW - imperfect channel state information (CSI)
KW - multiple-input and multiple-output (MIMO)
KW - Non-orthogonal multiple access (NOMA)
KW - probabilistic constraints
UR - http://www.scopus.com/inward/record.url?scp=85055719954&partnerID=8YFLogxK
U2 - 10.1109/TWC.2018.2875490
DO - 10.1109/TWC.2018.2875490
M3 - Article
AN - SCOPUS:85055719954
SN - 1536-1276
VL - 17
SP - 8239
EP - 8255
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 12
M1 - 8502922
ER -