Paper Info
Title
Securing Massive MIMO-NOMA Networks with ZF Beamforming and Artificial Noise
Abstract
In this paper, we propose using artificial noise (AN) and zero-forcing (ZF) beamforming to protect massive multiple-input multiple-output (MIMO) non- orthogonal multiple access (NOMA) networks. In particular, the ergodic legitimate, eavesdropping, and secrecy rates are derived while taking imperfect channel estimation into account. From the obtained ergodic rates, the effects of ZF precoder, AN, and the number of antennas at the base station are revealed. Results show that the ZF precoder can enhance secrecy performance when compared with maximum ratio transmission precoder. Furthermore, an optimization algorithm is proposed to maximize the sum secrecy rate of the proposed network, while guaranteeing a target secrecy rate at each user equipment. Numerical results verify the correctness of the analysis and the effectiveness of the proposed algorithm.
Year
DOI
Venue
2019
10.1109/GLOBECOM38437.2019.9013326
2019 IEEE Global Communications Conference (GLOBECOM)
Keywords
DocType
ISSN
nonorthogonal multiple access networks,imperfect channel estimation,ergodic rates,base station,maximum ratio transmission precoder,massive MIMO-NOMA networks,zero-forcing beamforming,massive multiple-input multiple-output NOMA networks
Conference
1930-529X
ISBN
Citations 
PageRank 
978-1-7281-0963-3
0
0.34
References 
Authors
11
4
Name
Order
Citations
PageRank
Nam-Phong Nguyen112.04
Ming Zeng217017.38
Octavia A. Dobre32064181.08
H. V. Poor4254111951.66