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

被引:6
|
作者
Zhang, Miao [1 ]
Cumanan, Kanapathippillai [2 ]
Wang, Wei [3 ,4 ]
Burr, Alister G. [2 ]
Ding, Zhiguo [5 ]
Lambotharan, Sangarapillai [6 ]
Dobre, Octavia A. [7 ]
机构
[1] Guizhou Univ, Sch Big Data & Informat Engn, Guiyang, Peoples R China
[2] Univ York, Dept Elect Engn, York YO10 5DD, N Yorkshire, England
[3] Nantong Univ, Sch Informat Sci & Technol, Nantong, Peoples R China
[4] Peng Cheng Lab, Res Ctr Networks & Commun, Shenzhen, Peoples R China
[5] Univ Manchester, Manchester M13 9PL, Lancs, England
[6] Loughborough Univ, Sch Mech Elect & Mfg Engn, Loughborough, Leics, England
[7] Mem Univ, Fac Engn & Appl Sci, St John, NF, Canada
基金
欧盟地平线“2020”; 加拿大自然科学与工程研究理事会; 英国工程与自然科学研究理事会;
关键词
secrecy energy efficiency (SEE); multiple-input multiple-output (MIMO); physical layer security; non-orthogonal multiple access (NOMA); convex optimization; NONORTHOGONAL MULTIPLE-ACCESS; OPTIMAL POWER ALLOCATION; CHALLENGES; CHANNEL;
D O I
10.1109/wcnc45663.2020.9120741
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:6
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