TY - GEN
T1 - Energy Efficiency Optimization for Secure Transmission in a MIMO-NOMA System
AU - Zhang, Miao
AU - Cumanan, Kanapathippillai
AU - Wang, Wei
AU - Burr, Alister G.
AU - Ding, Zhiguo
AU - Lambotharan, Sangarapillai
AU - Dobre, Octavia A.
N1 - Funding Information:
ACKNOWLEDGEMENT The work of M. Zhang, K. Cumanan, A. G. Burr and Z. Ding was supported by H2020-MSCA-RISE-2015 under grant number 690750. The work of W. Wang was supported by the Six Categories Talent Peak of Jiangsu Province under grant KTHY-039 and the Stereoscopic Coverage Communication Network Verification Platform for China Sea under grant PCL2018KP002. The work of S. Lambotharan was supported by the Engineering and Physical Sciences Research Council under grant number EP/R006385/1. The work of O. A. Dobre has been supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), though its Discovery program.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - This paper investigates a secrecy energy efficiency (SEE) optimization problem for a multiple-input multiple-output non-orthogonal multiple access network. In particular, a multi-antenna transmitter intends to send two integrated service messages: a confidential message for the stronger user and a broadcast message for both stronger and weaker users. It is assumed that both users are equipped with multi-antennas. In this secure wireless network, we consider the transmit covariance matrices design of confidential and broadcast message, under broadcast energy efficiency (BEE) constraint. In addition, it is assumed that the weaker user might turn out to be a potential eavesdropper due to the broadcast nature of wireless transmission. We formulate this transmit covariance matrices design as an SEE maximization problem which is non-convex in its original form due the non-linear fractional objective function and constraints. To realize the solution for this problem, we utilize non-linear fractional programming and difference of concave (DC) functions approach which facilitate to reformulate it into a tractable form. Based on the Dinkelbach's algorithm and DC approximation method, we propose iterative algorithms to determine a solution to the original SEE maximization problem. Numerical results are provided to demonstrate the performance of the proposed transmit covariance matrices design to maximize the SEE.
AB - This paper investigates a secrecy energy efficiency (SEE) optimization problem for a multiple-input multiple-output non-orthogonal multiple access network. In particular, a multi-antenna transmitter intends to send two integrated service messages: a confidential message for the stronger user and a broadcast message for both stronger and weaker users. It is assumed that both users are equipped with multi-antennas. In this secure wireless network, we consider the transmit covariance matrices design of confidential and broadcast message, under broadcast energy efficiency (BEE) constraint. In addition, it is assumed that the weaker user might turn out to be a potential eavesdropper due to the broadcast nature of wireless transmission. We formulate this transmit covariance matrices design as an SEE maximization problem which is non-convex in its original form due the non-linear fractional objective function and constraints. To realize the solution for this problem, we utilize non-linear fractional programming and difference of concave (DC) functions approach which facilitate to reformulate it into a tractable form. Based on the Dinkelbach's algorithm and DC approximation method, we propose iterative algorithms to determine a solution to the original SEE maximization problem. Numerical results are provided to demonstrate the performance of the proposed transmit covariance matrices design to maximize the SEE.
KW - convex optimization
KW - multiple-input multiple-output (MIMO)
KW - non-orthogonal multiple access (NOMA)
KW - physical layer security
KW - secrecy energy efficiency (SEE)
UR - https://www.scopus.com/pages/publications/85087274504
U2 - 10.1109/WCNC45663.2020.9120741
DO - 10.1109/WCNC45663.2020.9120741
M3 - Conference contribution
AN - SCOPUS:85087274504
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020
Y2 - 25 May 2020 through 28 May 2020
ER -
