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Performance Analysis of Non-Regenerative Massive-MIMO-NOMA Relay Systems for 5G.

Authors :
Zhang, Di
Liu, Yuanwei
Ding, Zhiguo
Zhou, Zhenyu
Nallanathan, Arumugam
Sato, Takuro
Source :
IEEE Transactions on Communications; Nov2017, Vol. 65 Issue 11, p4777-4790, 14p
Publication Year :
2017

Abstract

The non-regenerative massive multi-input-multi-output (MIMO) non-orthogonal multiple access (NOMA) relay systems are introduced in this paper. The NOMA is invoked with a superposition coding technique at the transmitter and successive interference cancellation (SIC) technique at the receiver. In addition, a maximum mean square error-SIC receiver design is adopted. With the aid of deterministic equivalent and matrix analysis tools, a closed-form expression of the signal to interference plus noise ratio (SINR) is derived. To characterize the performance of the considered systems, closed-form expressions of the capacity and sum rate are further obtained based on the derived SINR expression. Insights from the derived analytical results demonstrate that the ratio between the transmitter antenna number and the relay number is a dominate factor of the system performance. Afterward, the correctness of the derived expressions are verified by the Monte Carlo simulations with numerical results. Simulation results also illustrate that: 1) the transmitter antenna, averaged power value, and user number display the positive correlations on the capacity and sum rate performances, whereas the relay number displays a negative correlation on the performance and 2) the combined massive-MIMO-NOMA scheme is capable of achieving higher capacity performance compared with the conventional MIMO-NOMA, relay-assisted NOMA, and massive-MIMO orthogonal multiple access (OMA) scheme. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00906778
Volume :
65
Issue :
11
Database :
Complementary Index
Journal :
IEEE Transactions on Communications
Publication Type :
Academic Journal
Accession number :
126323893
Full Text :
https://doi.org/10.1109/TCOMM.2017.2739728