基于非完美信道信息的MIMO NOMA系统和速率最大化

doi:10.11959/j.issn.1000-436x.2019221

Journal on Communications ›› 2019, Vol. 40 ›› Issue (11): 94-100.doi: 10.11959/j.issn.1000-436x.2019221

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Sum-rate maximization in MIMO NOMA system with imperfect CSI

Yanjing SUN^1,²,Yang LIU¹,Jiasi ZHOU¹,Qi CAO³,Song LI¹

¹ School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,China
² School of Communication and Information Engineering,Xi’an University of Science and Technology,Xi’an 710600,China
³ School of Science and Engineering,Chinese University of Hong Kong (Shenzhen Campus),Shenzhen 518172,China

Revised:2019-09-27 Online:2019-11-25 Published:2019-12-06
Supported by:
Key Research ＆ Development Project for Science and Technology of Xuzhou of China(KC18105);Key Research ＆ Development Project for Science and Technology of Xuzhou of China(KC18068);The National Natural Science Foundation of China(51734009);The National Natural Science Foundation of China(51804304);The National Natural Science Foundation of China(61771417);The Natural Science Foundation of Jiangsu Province(BK20180640);Student Research Training Program(201910290020Z)

Abstract

Abstract:

In order to solve the problem of maximizing the sum rate under the constraints of transmission power limitation and users’ rates requirements,precoder and receiver were devised by combining multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) based on imperfect channel state information (CSI).To take advantage of successive interference cancellation (SIC) techniques to eliminate interference from weak user’s signal,each data stream of the strong user needed to decode the corresponding weak user’s signal.Since the problem formed was non-convex,it was converted into the problem with the difference of two convex functions (D.C.) by using semi-positive definite programming and first-order Taylor expansion,and a penalty function was used to solve the constraint of the rank of the precoding covariance matrix.The simulation results show that compared with the orthogonal multiple access technology,the proposed D.C.algorithm can improve system sum rate.

Key words: multiple-input multiple-output, non-orthogonal multiple access, precoding design, D.C.programming

CLC Number:

TN929.5

Yanjing SUN,Yang LIU,Jiasi ZHOU,Qi CAO,Song LI. Sum-rate maximization in MIMO NOMA system with imperfect CSI[J]. Journal on Communications, 2019, 40(11): 94-100.

Figures/Tables 4

References 17

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