Modeling and Simulation of Physical Layer Security Strategy in Two-Way Cognitive Networks

Authors

Pan Lei, 1. State Key Lab of ISN, Xidian University, Xi'an 710071, China; ;2. Rocket Force University of Engineering, Xi'an 710025, China;
Li Zan, 1. State Key Lab of ISN, Xidian University, Xi'an 710071, China; ;
Zhili Zhang, 2. Rocket Force University of Engineering, Xi'an 710025, China;
Xiangyang Li, 2. Rocket Force University of Engineering, Xi'an 710025, China;

Abstract

Abstract: In order to improve the performance of the mobile communication system, the physical layer security transmission models of a two-way cognitive relay network with the primary network and eavesdropper are established, and a joint optimization strategy for relay selection and power allocation is proposed to protect the source-destination transmission against the eavesdropper. It can be seen from the simulation analysis that this non-convex optimization problem has many restrictions, and it is difficult to guarantee the feasibility of the initial solution generated randomly by the PSO algorithm, resulting in the difficulty of obtaining solution. Therefore, a hybrid optimization algorithm based on variable mesh optimization (VMO) and particle swarm optimization (PSO) is proposed. Simulation results show that this algorithm improves the security rate and performance of the secondary network.

Recommended Citation

Lei, Pan; Zan, Li; Zhang, Zhili; and Li, Xiangyang (2021) "Modeling and Simulation of Physical Layer Security Strategy in Two-Way Cognitive Networks," Journal of System Simulation: Vol. 33: Iss. 1, Article 24.
DOI: 10.16182/j.issn1004731x.joss.19-0179
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss1/24

First Page

222

Revised Date

2019-05-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0179

Last Page

230

CLC

TN92

Recommended Citation

Pan Lei, Li Zan, Zhang Zhili, Li Xiangyang. Modeling and Simulation of Physical Layer Security Strategy in Two-Way Cognitive Networks[J]. Journal of System Simulation, 2021, 33(1): 222-230.

DOI

10.16182/j.issn1004731x.joss.19-0179