Power Allocation for Reducing PAPR of Artificial-Noise-Aided Secure Communication System
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Telecommunications Engineering
Abstract EN
The research of improving the secrecy capacity (SC) of wireless communication system using artificial noise (AN) is one of the classic models in the field of physical layer security communication.
In this paper, we consider the peak-to-average power ratio (PAPR) problem in this AN-aided model.
A power allocation algorithm for AN subspaces is proposed to solve the nonconvex optimization problem of PAPR.
This algorithm utilizes a series of convex optimization problems to relax the nonconvex optimization problem in a convex way based on fractional programming, difference of convex (DC) functions programming, and nonconvex quadratic equality constraint relaxation.
Furthermore, we also derive the SC of the proposed signal under the condition of the AN-aided model with a finite alphabet and the nonlinear high-power amplifiers (HPAs).
Simulation results show that the proposed algorithm reduces the PAPR value of transmit signal to improve the efficiency of HPA compared with benchmark AN-aided secure communication signals in the multiple-input single-output (MISO) model.
American Psychological Association (APA)
Hong, Tao& Zhang, Geng-xin. 2020. Power Allocation for Reducing PAPR of Artificial-Noise-Aided Secure Communication System. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1192427
Modern Language Association (MLA)
Hong, Tao& Zhang, Geng-xin. Power Allocation for Reducing PAPR of Artificial-Noise-Aided Secure Communication System. Mobile Information Systems No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1192427
American Medical Association (AMA)
Hong, Tao& Zhang, Geng-xin. Power Allocation for Reducing PAPR of Artificial-Noise-Aided Secure Communication System. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1192427
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192427