Energy Efficiency Optimization for Secure Transmission in a MIMO-NOMA System

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 - Publisher Copyright: © 2020 IEEE.

PY - 2020/6/19

Y1 - 2020/6/19

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 - http://www.scopus.com/inward/record.url?scp=85087274504&partnerID=8YFLogxK

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 -