TY - GEN
T1 - Secrecy sum rate maximization in NOMA systems with wireless information and power transfer
AU - He, Ganning
AU - Li, Lixin
AU - Li, Xu
AU - Chen, Wei
AU - Yang, Lie Liang
AU - Han, Zhu
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/7
Y1 - 2017/12/7
N2 - In this paper, we study the physical layer security in the downlink Non-Orthogonal Multiple Access (NOMA) systems with the capability of simultaneous wireless information and power transfer (SWIPT). In our system, each user applies the optimum power splitting (PS), in order to coordinate the energy harvesting and information decoding at the receiver. The optimization problem is formulated as the optimal power allocation (PA) and PS ratio selection, to maximize the secrecy sum rate (SSR) of the NOMA system under the constraints on the individual user's minimum rate and harvested power. In order to derive the solutions to the optimization problem, we separate the PS ratio selection from the PA problem. We first solve to get the closed-form expressions for the optimal PS ratios. Based on the PS ratios obtained, the PA is converted to a convex optimization problem, from which we obtain the optimal PA. Finally, we study the performance based on simulations, our simulation results show that the systems with optimal PA and PS ratio significantly outperform the legacy systems with uniform PA and fixed PS ratio.
AB - In this paper, we study the physical layer security in the downlink Non-Orthogonal Multiple Access (NOMA) systems with the capability of simultaneous wireless information and power transfer (SWIPT). In our system, each user applies the optimum power splitting (PS), in order to coordinate the energy harvesting and information decoding at the receiver. The optimization problem is formulated as the optimal power allocation (PA) and PS ratio selection, to maximize the secrecy sum rate (SSR) of the NOMA system under the constraints on the individual user's minimum rate and harvested power. In order to derive the solutions to the optimization problem, we separate the PS ratio selection from the PA problem. We first solve to get the closed-form expressions for the optimal PS ratios. Based on the PS ratios obtained, the PA is converted to a convex optimization problem, from which we obtain the optimal PA. Finally, we study the performance based on simulations, our simulation results show that the systems with optimal PA and PS ratio significantly outperform the legacy systems with uniform PA and fixed PS ratio.
KW - Non-orthogonal multiple access (NOMA)
KW - physical layer security
KW - power allocation
KW - simultaneous wireless information and power transfer (SWIPT)
UR - http://www.scopus.com/inward/record.url?scp=85046377264&partnerID=8YFLogxK
U2 - 10.1109/WCSP.2017.8171177
DO - 10.1109/WCSP.2017.8171177
M3 - 会议稿件
AN - SCOPUS:85046377264
T3 - 2017 9th International Conference on Wireless Communications and Signal Processing, WCSP 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 9th International Conference on Wireless Communications and Signal Processing, WCSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Wireless Communications and Signal Processing, WCSP 2017
Y2 - 11 October 2017 through 13 October 2017
ER -